Z790M-ITX WiFi
Geekbench AI Score
22239
Single Precision Score
34182
Half Precision Score
13387
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MikeWard1701 |
| Upload Date | November 09 2024 10:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z790M-ITX WiFi |
| Motherboard | ASRock Z790M-ITX WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9249
1.72 KIPS |
|
|
Image Classification (HP)
|
99% |
13227
2.47 KIPS |
|
|
Image Classification (Q)
|
100% |
5958
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13820
224.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18621
301.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10413
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
129874
151.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
372092
434.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
103662
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
11217
889.7 IPS |
|
|
Object Detection (HP)
|
100% |
16241
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
7262
581.3 IPS |
|
|
Face Detection (SP)
|
100% |
26765
318.0 IPS |
|
|
Face Detection (HP)
|
100% |
37079
440.6 IPS |
|
|
Face Detection (Q)
|
97% |
17826
212.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55839
430.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99099
763.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
33211
267.7 IPS |
|
|
Style Transfer (SP)
|
100% |
243587
313.1 IPS |
|
|
Style Transfer (HP)
|
100% |
574366
738.4 IPS |
|
|
Style Transfer (Q)
|
98% |
177079
228.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36254
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45149
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20046
742.3 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3805
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1264
28.2 IPS |
