Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench ML Score
21930
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Duszni |
| Upload Date | March 26 2025 07:36 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9444
1.77 KIPS |
|
|
Image Classification (F16)
|
100% |
10351
1.94 KIPS |
|
|
Image Classification (I8)
|
100% |
8947
1.67 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18001
300.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
16806
280.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
15384
256.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
136312
165.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
136323
165.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
121249
146.8 IPS |
|
|
Object Detection (F32)
|
100% |
7910
590.6 IPS |
|
|
Object Detection (F16)
|
100% |
7928
591.9 IPS |
|
|
Object Detection (I8)
|
63% |
7245
540.9 IPS |
|
|
Face Detection (F32)
|
100% |
29393
349.5 IPS |
|
|
Face Detection (F16)
|
100% |
31581
375.5 IPS |
|
|
Face Detection (I8)
|
89% |
26346
313.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
63339
491.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
56363
437.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
46444
360.2 IPS |
|
|
Style Transfer (F32)
|
100% |
223287
293.7 IPS |
|
|
Style Transfer (F16)
|
100% |
228346
300.4 IPS |
|
|
Style Transfer (I8)
|
98% |
201259
264.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42295
1.51 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43523
1.55 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
30275
1.08 KIPS |
|
|
Text Classification (F32)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3266
4.69 KIPS |
|
|
Text Classification (I8)
|
98% |
2053
2.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
5377
98.9 IPS |
|
|
Machine Translation (F16)
|
100% |
5375
98.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2740
50.4 IPS |
