ASRock Z890 Pro RS WiFi White
Geekbench AI Score
29299
Single Precision Score
45422
Half Precision Score
22388
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | anhvbt12345 |
| Upload Date | June 27 2025 11:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Pro RS WiFi White |
| Motherboard | ASRock Z890 Pro RS WiFi White |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11688
2.17 KIPS |
|
|
Image Classification (HP)
|
99% |
17770
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10002
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22160
359.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
29645
480.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19725
320.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
165111
192.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
438196
511.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
145116
170.0 IPS |
|
|
Object Detection (SP)
|
100% |
13861
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
22044
1.75 KIPS |
|
|
Object Detection (Q)
|
85% |
11492
925.1 IPS |
|
|
Face Detection (SP)
|
100% |
42037
499.5 IPS |
|
|
Face Detection (HP)
|
100% |
57802
686.8 IPS |
|
|
Face Detection (Q)
|
97% |
35892
428.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
64476
496.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114942
888.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
51413
411.0 IPS |
|
|
Style Transfer (SP)
|
100% |
294390
378.4 IPS |
|
|
Style Transfer (HP)
|
100% |
700053
899.9 IPS |
|
|
Style Transfer (Q)
|
98% |
261201
336.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47748
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60366
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34350
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4534
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2135
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5876
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2720
51.0 IPS |
