MouseComputer IStNEi-15FH127
Geekbench AI Score
3637
Single Precision Score
3597
Half Precision Score
9076
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 01:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12650H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer IStNEi-15FH127 |
| Motherboard | MouseComputer NP50RZ |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2551
474.4 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.4 IPS |
|
|
Image Classification (Q)
|
100% |
6111
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3029
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5587
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4404
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4491
5.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
16196
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2067
164.0 IPS |
|
|
Object Detection (HP)
|
100% |
2086
165.4 IPS |
|
|
Object Detection (Q)
|
88% |
6051
485.0 IPS |
|
|
Face Detection (SP)
|
100% |
3529
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
13172
156.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5520
42.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
14792
115.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12715
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12644
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44015
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9010
333.7 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
4061
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3616
62.3 IPS |
