ASRock Z790 PG Lightning
Geekbench AI Score
2656
Single Precision Score
3863
Half Precision Score
6000
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | March 18 2025 12:41 PM |
| Views | 12 |
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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
2729
507.4 IPS |
|
|
Image Classification (Q)
|
99% |
4082
761.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3915
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4694
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4240
4.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
3087
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12711
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
98% |
2353
187.2 IPS |
|
|
Object Detection (Q)
|
90% |
4344
347.4 IPS |
|
|
Face Detection (SP)
|
100% |
4914
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
10101
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4982
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8446
65.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11520
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10956
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17350
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29120
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3235
119.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6619
245.1 IPS |
|
|
Text Classification (SP)
|
71% |
1226
1.77 KIPS |
|
|
Text Classification (HP)
|
71% |
1495
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1465
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1755
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1740
30.0 IPS |
