ASRock Z790 Lightning WiFi
Geekbench AI Score
35826
Single Precision Score
48540
Half Precision Score
27454
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 02 2025 08:16 AM |
| Views | 20 |
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% |
13722
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
18002
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
11684
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19406
314.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23095
374.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18088
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
306999
358.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
519510
606.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
262810
307.9 IPS |
|
|
Object Detection (SP)
|
100% |
17726
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22436
1.78 KIPS |
|
|
Object Detection (Q)
|
86% |
15103
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
46264
549.7 IPS |
|
|
Face Detection (HP)
|
100% |
56364
669.7 IPS |
|
|
Face Detection (Q)
|
97% |
40149
478.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
94303
726.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
159269
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69217
553.6 IPS |
|
|
Style Transfer (SP)
|
100% |
560644
720.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1059577
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
478679
617.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58866
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77922
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43143
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4521
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2171
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2328
43.7 IPS |
