Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
7854
Single Precision Score
3185
Half Precision Score
14235
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 07:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| 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 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7299
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
1139
211.7 IPS |
|
|
Image Classification (Q)
|
99% |
14082
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17220
280.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13361
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10938
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
50465
59.2 IPS |
|
|
Object Detection (SP)
|
100% |
7354
583.3 IPS |
|
|
Object Detection (HP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (Q)
|
86% |
14210
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
11621
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
15781
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17748
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4330
33.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
30441
242.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31734
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23886
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39191
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5573
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7303
270.4 IPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2545
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4835
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5616
112.9 IPS |
