N5 Z690
Geekbench AI Score
22296
Single Precision Score
23422
Half Precision Score
15787
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 07:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | N5 Z690 |
| Motherboard | NZXT N5 Z690 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9730
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9442
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
8188
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15748
255.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12039
195.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12688
206.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
123846
144.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
199826
233.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
103352
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
10185
807.9 IPS |
|
|
Object Detection (HP)
|
100% |
8905
706.3 IPS |
|
|
Object Detection (Q)
|
87% |
8661
695.6 IPS |
|
|
Face Detection (SP)
|
100% |
30123
357.9 IPS |
|
|
Face Detection (HP)
|
100% |
33625
399.5 IPS |
|
|
Face Detection (Q)
|
97% |
23417
279.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51790
399.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63495
489.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
38514
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
226938
291.7 IPS |
|
|
Style Transfer (HP)
|
100% |
285739
367.3 IPS |
|
|
Style Transfer (Q)
|
98% |
178684
230.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35540
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43607
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25169
932.0 IPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1352
25.4 IPS |
