MONSTER ABRA A7 V13.3
Geekbench AI Score
2789
Single Precision Score
1181
Half Precision Score
4800
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MONSTER ABRA A7 V13.3 |
| Motherboard | MONSTER ABRA A7 V13.3 |
| Power Plan | Yksek performans |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2817
523.8 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.7 IPS |
|
|
Image Classification (Q)
|
99% |
6666
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2381
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3423
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3047
3.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
15846
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
4453
357.9 IPS |
|
|
Face Detection (SP)
|
100% |
3909
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7107
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4669
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1645
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11488
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8090
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6948
8.93 IPS |
|
|
Style Transfer (Q)
|
98% |
17556
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3331
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
691
921.9 IPS |
|
|
Text Classification (Q)
|
97% |
487
652.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2495
50.1 IPS |
