ASRock Z790 Nova WiFi
Geekbench ML Score
24370
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 Nova WiFi |
| Motherboard | ASRock Z790 Nova WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11428
2.14 KIPS |
|
|
Image Classification (F16)
|
100% |
11611
2.17 KIPS |
|
|
Image Classification (I8)
|
100% |
9866
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14733
246.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
14932
249.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
13922
232.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
230920
279.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
234022
283.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
208760
252.8 IPS |
|
|
Object Detection (F32)
|
100% |
7266
542.5 IPS |
|
|
Object Detection (F16)
|
100% |
7350
548.7 IPS |
|
|
Object Detection (I8)
|
56% |
6920
516.6 IPS |
|
|
Face Detection (F32)
|
100% |
34251
407.3 IPS |
|
|
Face Detection (F16)
|
100% |
34390
408.9 IPS |
|
|
Face Detection (I8)
|
89% |
29593
351.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
73600
570.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
69102
535.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
56900
441.3 IPS |
|
|
Style Transfer (F32)
|
100% |
341420
449.1 IPS |
|
|
Style Transfer (F16)
|
100% |
343554
451.9 IPS |
|
|
Style Transfer (I8)
|
98% |
302233
397.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
47528
1.70 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
47364
1.69 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37537
1.34 KIPS |
|
|
Text Classification (F32)
|
100% |
3225
4.64 KIPS |
|
|
Text Classification (F16)
|
100% |
3249
4.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1967
2.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
4005
73.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3965
73.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2442
44.9 IPS |
