ASUS System Product Name
Geekbench ML Score
4678
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 02:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1873
350.5 IPS |
|
|
Image Classification (F16)
|
100% |
1868
349.6 IPS |
|
|
Image Classification (I8)
|
99% |
4592
859.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2385
39.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2425
40.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3083
51.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12465
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12453
15.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
38046
46.1 IPS |
|
|
Object Detection (F32)
|
100% |
2111
157.6 IPS |
|
|
Object Detection (F16)
|
100% |
2074
154.9 IPS |
|
|
Object Detection (I8)
|
62% |
2129
158.9 IPS |
|
|
Face Detection (F32)
|
100% |
4010
47.7 IPS |
|
|
Face Detection (F16)
|
100% |
4010
47.7 IPS |
|
|
Face Detection (I8)
|
89% |
5664
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
9581
74.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9578
74.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
20725
160.7 IPS |
|
|
Style Transfer (F32)
|
100% |
26026
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24443
32.2 IPS |
|
|
Style Transfer (I8)
|
98% |
37205
48.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3673
131.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3924
140.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4104
146.6 IPS |
|
|
Text Classification (F32)
|
100% |
1568
2.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1572
2.26 KIPS |
|
|
Text Classification (I8)
|
98% |
391
562.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3091
56.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3072
56.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3630
66.8 IPS |
