MONSTER ABRA A7 V16.1
Geekbench AI Score
4111
Single Precision Score
1456
Half Precision Score
6535
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 21 2025 10:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3098
576.1 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.5 IPS |
|
|
Image Classification (Q)
|
99% |
5563
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
953
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3215
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7074
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3835
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
23590
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2934
232.7 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (Q)
|
86% |
5760
462.9 IPS |
|
|
Face Detection (SP)
|
100% |
7817
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
1692
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
8908
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2033
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15072
120.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16397
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9341
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24250
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3003
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3917
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.3 IPS |
|
|
Text Classification (Q)
|
97% |
1568
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2925
58.8 IPS |
