ASRock Z790 Lightning WiFi
Geekbench AI Score
35917
Single Precision Score
48667
Half Precision Score
27680
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 03 2025 09:29 AM |
| Views | 21 |
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% |
13711
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
18349
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11699
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19611
317.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23086
374.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18224
296.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
306559
357.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
509303
594.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
268675
314.8 IPS |
|
|
Object Detection (SP)
|
100% |
17805
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22695
1.80 KIPS |
|
|
Object Detection (Q)
|
86% |
15182
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
46636
554.1 IPS |
|
|
Face Detection (HP)
|
100% |
57283
680.6 IPS |
|
|
Face Detection (Q)
|
97% |
40185
479.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
94999
731.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
160142
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69780
558.1 IPS |
|
|
Style Transfer (SP)
|
100% |
561044
721.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1060588
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
478342
616.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58781
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77305
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43623
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2240
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2317
43.5 IPS |
