Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
4343
Single Precision Score
4314
Half Precision Score
9713
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 14 2024 11:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-E (MS-7D48) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2635
490.1 IPS |
|
|
Image Classification (HP)
|
100% |
2716
505.1 IPS |
|
|
Image Classification (Q)
|
100% |
5930
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3212
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5925
96.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5240
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5153
6.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
19032
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (Q)
|
88% |
6135
491.8 IPS |
|
|
Face Detection (SP)
|
100% |
7116
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
7447
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
14807
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6778
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6698
51.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16053
124.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15520
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15346
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
52306
67.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3274
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3216
118.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10464
387.5 IPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
3995
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3506
60.4 IPS |
