ASRock Z890M Riptide WiFi
Geekbench AI Score
6914
Single Precision Score
2399
Half Precision Score
8917
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 02:11 PM |
| Views | 2 |
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 Z890M Riptide WiFi |
| Motherboard | ASRock Z890M Riptide 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% |
5524
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
713
132.5 IPS |
|
|
Image Classification (Q)
|
99% |
9227
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4075
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14402
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8387
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
46210
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
5108
405.2 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (Q)
|
86% |
9757
784.2 IPS |
|
|
Face Detection (SP)
|
100% |
13916
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
2465
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
12687
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16564
127.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3471
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24397
194.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32097
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21760
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32885
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6748
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
661
885.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2721
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4130
83.0 IPS |
