ASUS System Product Name
Geekbench ML Score
22442
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2024 06:08 AM |
| 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 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 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 | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
14124
2.64 KIPS |
|
|
Image Classification (F16)
|
100% |
13815
2.59 KIPS |
|
|
Image Classification (I8)
|
100% |
11976
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11845
197.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
12960
216.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
10770
179.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
175335
212.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
177513
215.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
209310
253.5 IPS |
|
|
Object Detection (F32)
|
100% |
6431
480.1 IPS |
|
|
Object Detection (F16)
|
100% |
6440
480.8 IPS |
|
|
Object Detection (I8)
|
56% |
5889
439.7 IPS |
|
|
Face Detection (F32)
|
100% |
43493
517.1 IPS |
|
|
Face Detection (F16)
|
100% |
43382
515.8 IPS |
|
|
Face Detection (I8)
|
88% |
37682
448.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
48474
375.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
50616
392.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
42679
331.0 IPS |
|
|
Style Transfer (F32)
|
100% |
247970
326.2 IPS |
|
|
Style Transfer (F16)
|
100% |
252748
332.5 IPS |
|
|
Style Transfer (I8)
|
98% |
240783
316.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29914
1.07 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27681
988.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21309
761.0 IPS |
|
|
Text Classification (F32)
|
100% |
3908
5.62 KIPS |
|
|
Text Classification (F16)
|
100% |
4031
5.79 KIPS |
|
|
Text Classification (I8)
|
98% |
2683
3.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
4709
86.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4670
85.9 IPS |
|
|
Machine Translation (I8)
|
70% |
3012
55.4 IPS |
