ASRock Z790 PG Lightning
Geekbench AI Score
30796
Single Precision Score
37094
Half Precision Score
24853
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13768
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
15178
2.82 KIPS |
|
|
Image Classification (Q)
|
99% |
11845
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19067
309.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17157
278.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16949
275.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
235357
274.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
423649
494.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
211300
247.5 IPS |
|
|
Object Detection (SP)
|
100% |
14934
1.18 KIPS |
|
|
Object Detection (HP)
|
99% |
17242
1.37 KIPS |
|
|
Object Detection (Q)
|
87% |
13416
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
41603
494.3 IPS |
|
|
Face Detection (HP)
|
100% |
46589
553.6 IPS |
|
|
Face Detection (Q)
|
97% |
39142
466.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
74310
572.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93549
720.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
61508
492.9 IPS |
|
|
Style Transfer (SP)
|
100% |
379520
487.9 IPS |
|
|
Style Transfer (HP)
|
100% |
591419
760.3 IPS |
|
|
Style Transfer (Q)
|
98% |
323547
417.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41220
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57139
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33102
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2585
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4339
74.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2371
44.5 IPS |
