Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
1953
Single Precision Score
966
Half Precision Score
2098
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | chuk |
| Upload Date | January 22 2025 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4500 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. A520M PRO (MS-7D14) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
96% |
1972
368.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1128
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3352
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2887
3.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
4455
5.27 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.3 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (Q)
|
58% |
1364
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
2672
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
4088
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4883
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4732
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8881
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6800
8.74 IPS |
|
|
Style Transfer (Q)
|
87% |
8658
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1582
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
978
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.2 IPS |
|
|
Text Classification (Q)
|
97% |
358
480.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1294
25.0 IPS |
