ASRock Z790 PG Lightning
Geekbench AI Score
2625
Single Precision Score
3971
Half Precision Score
6227
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | July 25 2025 10:31 AM |
| Views | 6 |
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% |
1585
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
2649
492.7 IPS |
|
|
Image Classification (Q)
|
99% |
4078
760.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3908
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4515
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3084
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12653
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
98% |
2346
186.7 IPS |
|
|
Object Detection (Q)
|
90% |
4382
350.4 IPS |
|
|
Face Detection (SP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
7848
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
10457
124.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4962
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8442
65.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11581
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10960
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17236
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29078
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3236
119.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6696
248.0 IPS |
|
|
Text Classification (SP)
|
71% |
1214
1.76 KIPS |
|
|
Text Classification (HP)
|
71% |
1484
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1511
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2375
41.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2412
41.6 IPS |
