ASRock Z790 Lightning WiFi
Geekbench AI Score
36114
Single Precision Score
48702
Half Precision Score
27576
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 02 2025 10:45 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% |
13682
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
17730
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
11685
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19418
314.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22640
367.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17885
290.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
306487
357.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
520074
606.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
267017
312.9 IPS |
|
|
Object Detection (SP)
|
100% |
17913
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
23009
1.83 KIPS |
|
|
Object Detection (Q)
|
86% |
15140
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
46898
557.3 IPS |
|
|
Face Detection (HP)
|
100% |
57208
679.8 IPS |
|
|
Face Detection (Q)
|
97% |
40339
481.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
92787
714.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
161958
1.25 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68799
550.3 IPS |
|
|
Style Transfer (SP)
|
100% |
562090
722.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1059577
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
475967
613.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59795
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77549
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43657
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4562
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2239
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4649
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2331
43.7 IPS |
