ASRock Z790 PG Lightning
Geekbench AI Score
2714
Single Precision Score
3939
Half Precision Score
6136
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | January 12 2026 10:41 AM |
| Views | 2 |
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% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.7 IPS |
|
|
Image Classification (Q)
|
99% |
4090
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3904
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4432
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4236
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3081
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12634
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
98% |
2290
182.2 IPS |
|
|
Object Detection (Q)
|
90% |
4352
348.0 IPS |
|
|
Face Detection (SP)
|
100% |
4950
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
10477
124.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4984
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8283
64.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11285
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11203
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15707
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29154
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6578
243.6 IPS |
|
|
Text Classification (SP)
|
71% |
1206
1.74 KIPS |
|
|
Text Classification (HP)
|
71% |
1723
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2228
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2213
38.1 IPS |
