ASRock Z890 Pro RS
Geekbench AI Score
21907
Single Precision Score
36490
Half Precision Score
17170
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | phm |
| Upload Date | July 07 2025 02:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Pro RS |
| Motherboard | ASRock Z890 Pro RS |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9348
1.74 KIPS |
|
|
Image Classification (HP)
|
99% |
14781
2.76 KIPS |
|
|
Image Classification (Q)
|
99% |
8428
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15366
249.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20626
334.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13935
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
113004
131.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
352802
411.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
98040
114.9 IPS |
|
|
Object Detection (SP)
|
100% |
10746
852.4 IPS |
|
|
Object Detection (HP)
|
100% |
17937
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
9346
752.4 IPS |
|
|
Face Detection (SP)
|
100% |
26513
315.0 IPS |
|
|
Face Detection (HP)
|
100% |
42492
504.9 IPS |
|
|
Face Detection (Q)
|
97% |
23778
283.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
53041
408.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
92892
715.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
42690
341.8 IPS |
|
|
Style Transfer (SP)
|
100% |
198386
255.0 IPS |
|
|
Style Transfer (HP)
|
100% |
457830
588.5 IPS |
|
|
Style Transfer (Q)
|
98% |
176355
227.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33779
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54816
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25295
936.6 IPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4471
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2164
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4899
84.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2113
39.6 IPS |
