Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
2532
Single Precision Score
1305
Half Precision Score
3872
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 10:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
3961
738.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2144
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3685
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3256
3.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
15685
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
88% |
1820
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
4785
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4534
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2001
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
8344
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9616
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8287
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22251
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3355
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.6 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2504
55.8 IPS |
