ASRock Z790 PG Lightning
Geekbench AI Score
2601
Single Precision Score
3893
Half Precision Score
6106
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | December 12 2025 02:46 PM |
| Views | 3 |
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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (Q)
|
99% |
4030
751.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3845
62.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4544
73.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4236
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3083
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12616
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
98% |
2271
180.7 IPS |
|
|
Object Detection (Q)
|
90% |
4263
340.9 IPS |
|
|
Face Detection (SP)
|
100% |
4926
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
10137
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4930
38.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8307
64.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11466
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10954
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17180
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28986
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3222
119.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6653
246.4 IPS |
|
|
Text Classification (SP)
|
71% |
1207
1.75 KIPS |
|
|
Text Classification (HP)
|
71% |
1459
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2208
38.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2247
38.7 IPS |
