ASRock Z890 Pro-A WiFi
Geekbench AI Score
6499
Single Precision Score
2404
Half Precision Score
9791
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 10:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock Z890 Pro-A WiFi |
| Motherboard | ASRock Z890 Pro-A WiFi |
| 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% |
5384
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
99% |
9392
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4729
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14439
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8106
9.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
45576
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
4867
386.0 IPS |
|
|
Object Detection (HP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
86% |
10581
850.4 IPS |
|
|
Face Detection (SP)
|
100% |
12841
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
12869
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14139
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3392
26.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24945
199.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32058
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21159
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30857
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3989
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3119
115.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4848
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4529
91.0 IPS |
