MONSTER ABRA A7 V11.5
Geekbench AI Score
4565
Single Precision Score
4589
Half Precision Score
12029
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fsg |
| Upload Date | September 16 2025 08:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
2990
556.1 IPS |
|
|
Image Classification (HP)
|
100% |
3113
578.9 IPS |
|
|
Image Classification (Q)
|
100% |
7749
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3651
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3665
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7977
129.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5889
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5912
6.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
23444
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (Q)
|
88% |
8246
661.0 IPS |
|
|
Face Detection (SP)
|
100% |
4816
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
20982
249.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7034
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6957
53.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21500
167.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15795
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16012
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
62288
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11604
429.7 IPS |
|
|
Text Classification (SP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4370
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4321
74.4 IPS |
