Gigabyte Technology Co., Ltd. B650I AX
Geekbench ML Score
4763
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 03:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650I AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AX |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2676
500.8 IPS |
|
|
Image Classification (F16)
|
100% |
2539
475.0 IPS |
|
|
Image Classification (I8)
|
99% |
5134
960.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2394
40.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2283
38.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2535
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7892
9.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
8248
9.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
28061
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
2697
201.4 IPS |
|
|
Object Detection (F16)
|
100% |
2646
197.5 IPS |
|
|
Object Detection (I8)
|
62% |
2486
185.6 IPS |
|
|
Face Detection (F32)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (F16)
|
100% |
6776
80.6 IPS |
|
|
Face Detection (I8)
|
89% |
6516
77.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9641
74.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7923
61.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
19342
150.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14801
19.5 IPS |
|
|
Style Transfer (F16)
|
100% |
19424
25.6 IPS |
|
|
Style Transfer (I8)
|
98% |
33071
43.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3469
123.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3979
142.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5091
181.8 IPS |
|
|
Text Classification (F32)
|
100% |
1597
2.30 KIPS |
|
|
Text Classification (F16)
|
100% |
2231
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
379
544.9 IPS |
|
|
Machine Translation (F32)
|
100% |
3160
58.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2988
55.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3782
69.6 IPS |
