Unknown
Geekbench AI Score
7108
Single Precision Score
9491
Half Precision Score
14510
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 02:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Unknown |
| Motherboard | DFI Inc. ARS630 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4369
812.5 IPS |
|
|
Image Classification (HP)
|
100% |
7119
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10061
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5711
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3911
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8353
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
34293
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74225
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
4223
334.9 IPS |
|
|
Object Detection (HP)
|
100% |
6044
479.4 IPS |
|
|
Object Detection (Q)
|
87% |
9793
786.0 IPS |
|
|
Face Detection (SP)
|
100% |
12738
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
14706
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
26757
317.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10386
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17560
135.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32580
253.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24025
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49521
63.7 IPS |
|
|
Style Transfer (Q)
|
98% |
90916
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13671
504.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22865
846.8 IPS |
|
|
Text Classification (SP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1907
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1897
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5660
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4179
72.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4209
72.5 IPS |
