Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
3340
Single Precision Score
1526
Half Precision Score
6777
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft 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 7 8700F 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2676
497.7 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (Q)
|
99% |
7917
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3660
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5120
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4365
5.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
22535
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
86% |
7755
623.2 IPS |
|
|
Face Detection (SP)
|
100% |
5631
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
9640
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6509
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2283
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7191
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14644
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12136
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27527
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.9 IPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3634
73.0 IPS |
