MONSTER ABRA A7 V11.5
Geekbench AI Score
3208
Single Precision Score
1366
Half Precision Score
5966
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fsg |
| Upload Date | September 16 2025 08:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
3004
558.7 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.3 IPS |
|
|
Image Classification (Q)
|
99% |
5041
940.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5397
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4537
5.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
18352
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
6030
484.6 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
7918
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7254
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1822
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11981
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12942
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11067
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12307
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2586
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5271
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2568
51.6 IPS |
