Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3835
Single Precision Score
4000
Half Precision Score
9058
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 04:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.5 IPS |
|
|
Image Classification (Q)
|
100% |
6238
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3064
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2670
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5178
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4646
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
14892
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (Q)
|
88% |
5319
426.4 IPS |
|
|
Face Detection (SP)
|
100% |
6564
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
13061
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6927
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6993
53.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
16743
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10674
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13280
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
47113
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10974
406.4 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
4344
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2962
51.0 IPS |
