ASRock Z790 Lightning WiFi
Geekbench AI Score
35703
Single Precision Score
48351
Half Precision Score
27250
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 02 2025 03:10 AM |
| Views | 16 |
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% |
13800
2.57 KIPS |
|
|
Image Classification (HP)
|
99% |
18029
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
11824
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19511
316.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23189
375.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17946
291.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
302199
352.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
511636
597.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
265617
311.2 IPS |
|
|
Object Detection (SP)
|
100% |
17606
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
22639
1.80 KIPS |
|
|
Object Detection (Q)
|
86% |
14923
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
46741
555.4 IPS |
|
|
Face Detection (HP)
|
100% |
56942
676.6 IPS |
|
|
Face Detection (Q)
|
97% |
39766
474.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
93290
718.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
158425
1.22 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68291
546.2 IPS |
|
|
Style Transfer (SP)
|
100% |
556863
715.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1051058
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
467500
602.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58195
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76133
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43068
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4498
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4442
76.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2287
42.9 IPS |
