Gigabyte Technology Co., Ltd. B650E AORUS ELITE X AX ICE
Geekbench ML Score
3705
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Cadaric44 |
| Upload Date | August 17 2024 09:55 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650E AORUS ELITE X AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS ELITE X AX ICE |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1804
337.7 IPS |
|
|
Image Classification (F16)
|
100% |
1927
360.6 IPS |
|
|
Image Classification (I8)
|
99% |
5015
938.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1643
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2069
34.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2398
40.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4414
5.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
4198
5.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
23830
28.9 IPS |
|
|
Object Detection (F32)
|
100% |
1690
126.2 IPS |
|
|
Object Detection (F16)
|
100% |
1697
126.7 IPS |
|
|
Object Detection (I8)
|
62% |
1790
133.6 IPS |
|
|
Face Detection (F32)
|
100% |
4381
52.1 IPS |
|
|
Face Detection (F16)
|
100% |
5029
59.8 IPS |
|
|
Face Detection (I8)
|
89% |
6305
75.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6467
50.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5545
43.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
21108
163.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11376
15.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12626
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
28761
37.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2305
82.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3280
117.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5102
182.2 IPS |
|
|
Text Classification (F32)
|
100% |
1585
2.28 KIPS |
|
|
Text Classification (F16)
|
100% |
1599
2.30 KIPS |
|
|
Text Classification (I8)
|
98% |
378
542.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2539
46.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2563
47.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3455
63.6 IPS |
