ASUS System Product Name
Geekbench ML Score
21426
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:38 AM |
| Views | 3 |
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% |
11714
2.19 KIPS |
|
|
Image Classification (F16)
|
100% |
12046
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9977
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13863
231.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14390
240.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12739
212.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
231984
280.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
251758
304.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
211622
256.3 IPS |
|
|
Object Detection (F32)
|
100% |
5493
410.1 IPS |
|
|
Object Detection (F16)
|
100% |
5264
393.0 IPS |
|
|
Object Detection (I8)
|
56% |
4800
358.3 IPS |
|
|
Face Detection (F32)
|
100% |
40297
479.1 IPS |
|
|
Face Detection (F16)
|
100% |
38503
457.8 IPS |
|
|
Face Detection (I8)
|
88% |
31112
369.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
65184
505.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
66530
515.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
52394
406.3 IPS |
|
|
Style Transfer (F32)
|
100% |
222472
292.6 IPS |
|
|
Style Transfer (F16)
|
100% |
224262
295.0 IPS |
|
|
Style Transfer (I8)
|
98% |
219062
288.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24944
890.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25841
922.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18357
655.6 IPS |
|
|
Text Classification (F32)
|
100% |
3492
5.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3465
4.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1979
2.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
4170
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4164
76.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2342
43.1 IPS |
