ASRock Z790 PG Lightning
Geekbench AI Score
2603
Single Precision Score
3735
Half Precision Score
5798
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | March 07 2025 03:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (HP)
|
100% |
2565
477.0 IPS |
|
|
Image Classification (Q)
|
99% |
3965
739.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3757
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4447
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3084
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12755
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
98% |
2231
177.5 IPS |
|
|
Object Detection (Q)
|
90% |
4028
322.1 IPS |
|
|
Face Detection (SP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
7608
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
9910
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8262
63.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11362
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10924
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17245
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28837
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3230
119.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6559
242.9 IPS |
|
|
Text Classification (SP)
|
71% |
1194
1.73 KIPS |
|
|
Text Classification (HP)
|
71% |
1457
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1566
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1572
27.1 IPS |
