ASUS System Product Name
Geekbench ML Score
20999
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 08 2025 01:23 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12187
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12328
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
9997
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13717
229.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13560
226.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12616
210.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
245852
297.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
233038
282.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
211557
256.2 IPS |
|
|
Object Detection (F32)
|
100% |
5044
376.6 IPS |
|
|
Object Detection (F16)
|
100% |
5068
378.4 IPS |
|
|
Object Detection (I8)
|
56% |
4224
315.3 IPS |
|
|
Face Detection (F32)
|
100% |
39380
468.2 IPS |
|
|
Face Detection (F16)
|
100% |
40197
478.0 IPS |
|
|
Face Detection (I8)
|
88% |
33142
394.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
63489
492.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
65766
510.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
50480
391.5 IPS |
|
|
Style Transfer (F32)
|
100% |
219839
289.2 IPS |
|
|
Style Transfer (F16)
|
100% |
220017
289.4 IPS |
|
|
Style Transfer (I8)
|
98% |
197872
260.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23799
849.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23006
821.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18029
643.9 IPS |
|
|
Text Classification (F32)
|
100% |
3505
5.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3500
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1988
2.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
4146
76.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4140
76.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2300
42.3 IPS |
