MONSTER ABRA A7 V16.1
Geekbench AI Score
5204
Single Precision Score
5323
Half Precision Score
10941
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 21 2025 10:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | MONSTER ABRA A7 V16.1 |
| Motherboard | MONSTER ABRA A7 V16.1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3338
620.7 IPS |
|
|
Image Classification (HP)
|
100% |
3500
650.8 IPS |
|
|
Image Classification (Q)
|
100% |
7457
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4313
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4130
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4502
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6717
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6777
7.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
14792
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (Q)
|
88% |
8213
658.4 IPS |
|
|
Face Detection (SP)
|
100% |
9572
113.7 IPS |
|
|
Face Detection (HP)
|
100% |
9258
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
20045
238.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8884
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8797
67.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21211
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19887
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20385
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
70118
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4310
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4268
157.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13600
503.6 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (Q)
|
92% |
5012
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4210
72.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2967
51.1 IPS |
