ASRock Z790 Lightning WiFi
Geekbench AI Score
35814
Single Precision Score
48368
Half Precision Score
27418
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tdk |
| Upload Date | January 02 2025 08:14 AM |
| Views | 12 |
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% |
13609
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
17696
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
11854
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19495
316.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22927
371.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18237
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
305238
356.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
512186
597.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
261836
306.8 IPS |
|
|
Object Detection (SP)
|
100% |
17761
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22447
1.78 KIPS |
|
|
Object Detection (Q)
|
86% |
15009
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
46792
556.0 IPS |
|
|
Face Detection (HP)
|
100% |
56626
672.8 IPS |
|
|
Face Detection (Q)
|
97% |
40268
480.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
94636
729.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
160320
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68986
551.7 IPS |
|
|
Style Transfer (SP)
|
100% |
560676
720.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1062877
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
476388
614.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58577
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76996
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43153
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3654
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
4466
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2153
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4542
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2299
43.1 IPS |
