ASUS System Product Name
Geekbench ML Score
21195
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 10 2024 06:18 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| 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% |
14158
2.65 KIPS |
|
|
Image Classification (F16)
|
100% |
14126
2.64 KIPS |
|
|
Image Classification (I8)
|
100% |
12298
2.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14308
239.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13992
233.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12761
213.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
171825
208.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
172424
208.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
161806
195.9 IPS |
|
|
Object Detection (F32)
|
100% |
3772
281.6 IPS |
|
|
Object Detection (F16)
|
100% |
3758
280.6 IPS |
|
|
Object Detection (I8)
|
56% |
3571
266.6 IPS |
|
|
Face Detection (F32)
|
100% |
39292
467.2 IPS |
|
|
Face Detection (F16)
|
100% |
39298
467.3 IPS |
|
|
Face Detection (I8)
|
88% |
34343
408.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
46959
364.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
59817
463.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
38857
301.3 IPS |
|
|
Style Transfer (F32)
|
100% |
276667
363.9 IPS |
|
|
Style Transfer (F16)
|
100% |
272639
358.6 IPS |
|
|
Style Transfer (I8)
|
98% |
235887
310.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30002
1.07 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30252
1.08 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24436
872.7 IPS |
|
|
Text Classification (F32)
|
100% |
4006
5.76 KIPS |
|
|
Text Classification (F16)
|
100% |
4153
5.97 KIPS |
|
|
Text Classification (I8)
|
98% |
2830
4.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
3752
69.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3710
68.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2683
49.4 IPS |
