MONSTER ABRA A7 V11.5
Geekbench AI Score
2252
Single Precision Score
3524
Half Precision Score
5759
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fsg |
| Upload Date | September 16 2025 08:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | MONSTER ABRA A7 V11.5 |
| Motherboard | MONSTER ABRA A7 V11.5 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2386
443.6 IPS |
|
|
Image Classification (Q)
|
99% |
3934
733.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3447
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5087
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3769
4.40 IPS |
|
|
Pose Estimation (HP)
|
99% |
2847
3.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
11937
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
98% |
2125
169.1 IPS |
|
|
Object Detection (Q)
|
90% |
3922
313.6 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6525
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
10049
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4470
34.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7622
58.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10781
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9998
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17498
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27489
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3016
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6017
222.8 IPS |
|
|
Text Classification (SP)
|
71% |
1011
1.46 KIPS |
|
|
Text Classification (HP)
|
71% |
1191
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1261
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1900
32.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1898
32.7 IPS |
