Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench ML Score
3891
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | July 26 2024 10:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1331
249.1 IPS |
|
|
Image Classification (F16)
|
100% |
1364
255.3 IPS |
|
|
Image Classification (I8)
|
99% |
3657
684.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1559
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1715
28.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2616
43.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10299
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
10352
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
30423
36.8 IPS |
|
|
Object Detection (F32)
|
100% |
1847
137.9 IPS |
|
|
Object Detection (F16)
|
100% |
1837
137.1 IPS |
|
|
Object Detection (I8)
|
62% |
1545
115.3 IPS |
|
|
Face Detection (F32)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (F16)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (I8)
|
89% |
5126
60.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8084
62.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9175
71.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
18973
147.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17438
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16913
22.2 IPS |
|
|
Style Transfer (I8)
|
98% |
33995
44.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2924
104.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2693
96.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4725
168.7 IPS |
|
|
Text Classification (F32)
|
100% |
1397
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1422
2.04 KIPS |
|
|
Text Classification (I8)
|
98% |
375
538.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2699
49.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2776
51.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3612
66.5 IPS |
