ASRock Z790 Lightning WiFi
Geekbench AI Score
35921
Single Precision Score
48871
Half Precision Score
27501
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 02 2025 10:17 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% |
13865
2.58 KIPS |
|
|
Image Classification (HP)
|
99% |
18192
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11849
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19765
320.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23547
381.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18240
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
301673
352.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
515917
602.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
261888
306.8 IPS |
|
|
Object Detection (SP)
|
100% |
17715
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22889
1.82 KIPS |
|
|
Object Detection (Q)
|
86% |
15107
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
47221
561.1 IPS |
|
|
Face Detection (HP)
|
100% |
57139
678.9 IPS |
|
|
Face Detection (Q)
|
97% |
40723
485.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
92775
714.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
160056
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68721
549.6 IPS |
|
|
Style Transfer (SP)
|
100% |
556091
714.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1058222
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
473018
609.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58536
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76484
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43061
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4552
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4645
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4560
78.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2340
43.9 IPS |
