Micro-Star International Co., Ltd. MS-7E27
Geekbench AI Score
2573
Single Precision Score
2629
Half Precision Score
1587
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 27 2024 10:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | Micro-Star International Co., Ltd. MS-7E27 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-P (MS-7E27) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (Q)
|
99% |
1015
189.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1060
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2861
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
3104
3.64 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (Q)
|
85% |
1015
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
2514
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2968
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3018
23.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1916
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3675
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3661
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
5794
7.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1670
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (Q)
|
58% |
745
17.5 IPS |
