Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
2897
Single Precision Score
876
Half Precision Score
6438
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Tolek |
| Upload Date | January 03 2025 08:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI DDR4 (MS-7D96) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1795
333.8 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
97% |
6059
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
2044
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4626
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
20687
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
86% |
6212
499.3 IPS |
|
|
Face Detection (SP)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (Q)
|
97% |
14017
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5495
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1210
9.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
14245
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11621
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8361
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18337
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4511
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
641
855.6 IPS |
|
|
Text Classification (Q)
|
97% |
1746
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2666
53.6 IPS |
