Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
4611
Single Precision Score
4595
Half Precision Score
11051
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Tolek |
| Upload Date | January 03 2025 08:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
3039
565.2 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (Q)
|
100% |
6941
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3491
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3396
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5962
96.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5753
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5741
6.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
21516
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2893
229.5 IPS |
|
|
Object Detection (HP)
|
100% |
2899
230.0 IPS |
|
|
Object Detection (Q)
|
88% |
7303
585.4 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
16195
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7604
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7639
58.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19523
151.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17130
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17131
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
59905
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11795
436.8 IPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
4837
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3869
66.6 IPS |
