Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
5257
Single Precision Score
2086
Half Precision Score
8656
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 18 2026 12:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4294
798.5 IPS |
|
|
Image Classification (HP)
|
100% |
758
140.9 IPS |
|
|
Image Classification (Q)
|
99% |
8784
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3714
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7782
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
6515
7.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
25085
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
4050
321.3 IPS |
|
|
Object Detection (HP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (Q)
|
86% |
9195
739.0 IPS |
|
|
Face Detection (SP)
|
100% |
10590
125.8 IPS |
|
|
Face Detection (HP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
11358
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10863
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3077
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
21308
170.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19976
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15995
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31299
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3291
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2903
107.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4595
170.1 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2005
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4497
90.4 IPS |
