MONSTER ABRA A5 V15.6
Geekbench AI Score
6015
Single Precision Score
5229
Half Precision Score
4420
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | JoCon29 |
| Upload Date | January 20 2026 09:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
2284
424.8 IPS |
|
|
Image Classification (Q)
|
99% |
1887
351.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3829
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4172
67.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3347
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24179
28.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27909
32.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21730
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2900
230.0 IPS |
|
|
Object Detection (HP)
|
99% |
3075
244.6 IPS |
|
|
Object Detection (Q)
|
83% |
2553
206.2 IPS |
|
|
Face Detection (SP)
|
100% |
7371
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
6055
72.0 IPS |
|
|
Face Detection (Q)
|
97% |
6477
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13460
103.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10529
81.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10655
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36387
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37653
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32303
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8293
306.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7437
274.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6053
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
465
621.2 IPS |
|
|
Text Classification (Q)
|
97% |
559
749.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2203
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2252
38.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1079
20.2 IPS |
