Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
2463
Single Precision Score
1216
Half Precision Score
5890
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | July 11 2025 02:29 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X3D 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1811
336.9 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
99% |
5228
975.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2766
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2869
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
13050
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
86% |
5342
429.4 IPS |
|
|
Face Detection (SP)
|
100% |
4556
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
1334
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
8264
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3683
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1665
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11269
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7839
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7295
9.38 IPS |
|
|
Style Transfer (Q)
|
98% |
23354
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3454
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.2 IPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4274
85.9 IPS |
