MONSTER ABRA A5 V15.6
Geekbench AI Score
2806
Single Precision Score
2850
Half Precision Score
4145
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | JoCon29 |
| Upload Date | January 20 2026 09:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MONSTER ABRA A5 V15.6 |
| Motherboard | MONSTER ABRA A5 V15.6 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
1753
325.9 IPS |
|
|
Image Classification (Q)
|
100% |
2628
488.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3165
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
6767
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (Q)
|
87% |
2793
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (Q)
|
97% |
7510
89.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4297
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4345
33.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
7963
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10624
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10820
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21270
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4362
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
91% |
652
877.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2657
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2688
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2638
45.4 IPS |
