ASRock Z790 Lightning WiFi
Geekbench AI Score
36079
Single Precision Score
48900
Half Precision Score
27540
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 02 2025 10:54 AM |
| Views | 15 |
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% |
13638
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
17891
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11672
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19328
313.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22730
368.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17863
290.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
305697
356.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
511394
596.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
266574
312.3 IPS |
|
|
Object Detection (SP)
|
100% |
17914
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22920
1.82 KIPS |
|
|
Object Detection (Q)
|
86% |
15190
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
46725
555.2 IPS |
|
|
Face Detection (HP)
|
100% |
57135
678.9 IPS |
|
|
Face Detection (Q)
|
97% |
40422
482.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
94961
731.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
161574
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69024
552.1 IPS |
|
|
Style Transfer (SP)
|
100% |
567511
729.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1070572
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
476760
614.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59659
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78733
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43481
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2194
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4527
78.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2343
43.9 IPS |
