ASRock Z790 Lightning WiFi
Geekbench AI Score
34919
Single Precision Score
47688
Half Precision Score
26841
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 02 2025 03:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 Lightning WiFi |
| Motherboard | ASRock Z790 Lightning WiFi |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13425
2.50 KIPS |
|
|
Image Classification (HP)
|
99% |
17671
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
11452
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19249
312.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22577
366.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18008
292.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
296442
345.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
506606
591.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
258788
303.2 IPS |
|
|
Object Detection (SP)
|
100% |
17184
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
22188
1.76 KIPS |
|
|
Object Detection (Q)
|
86% |
14656
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
45461
540.2 IPS |
|
|
Face Detection (HP)
|
100% |
54674
649.6 IPS |
|
|
Face Detection (Q)
|
97% |
39316
468.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89782
691.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
156863
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67269
538.0 IPS |
|
|
Style Transfer (SP)
|
100% |
546653
702.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1056598
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
464763
599.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57188
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75467
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41926
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4506
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4482
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2267
42.5 IPS |
