MSI-CPUAI Micro-Star International Co., Ltd. Cyborg 15 A13VE
Geekbench AI Score
2355
Single Precision Score
961
Half Precision Score
4062
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jvsaun |
| Upload Date | December 05 2024 07:13 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 15 A13VE |
| Motherboard | Micro-Star International Co., Ltd. MS-15K1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1860
345.8 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
99% |
2890
539.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1963
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3625
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2653
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
12736
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
3498
281.1 IPS |
|
|
Face Detection (SP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5495
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5142
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1406
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8852
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9075
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6273
8.06 IPS |
|
|
Style Transfer (Q)
|
98% |
15966
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2426
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.3 IPS |
|
|
Text Classification (Q)
|
97% |
1338
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
65% |
1922
38.6 IPS |
