Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
3183
Single Precision Score
782
Half Precision Score
3935
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nickb64 |
| Upload Date | August 18 2024 06:11 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI DDR4 (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1823
339.0 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
3315
618.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
2619
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6346
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3973
4.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
20959
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
88% |
1884
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
3813
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7046
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.37 IPS |
|
|
Depth Estimation (Q)
|
76% |
8427
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14854
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9883
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19967
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2630
97.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4061
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
649
865.7 IPS |
|
|
Text Classification (Q)
|
97% |
509
681.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1958
43.7 IPS |
