Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
3431
Single Precision Score
1425
Half Precision Score
5075
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 14 2024 11:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2470
459.3 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
5105
952.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2284
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5398
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3788
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
18752
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
671
53.3 IPS |
|
|
Object Detection (Q)
|
86% |
4773
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
7587
90.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7053
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2019
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12882
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13134
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9261
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22577
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2509
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3807
141.0 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.1 IPS |
|
|
Text Classification (Q)
|
97% |
541
724.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2391
48.1 IPS |
