Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
7786
Single Precision Score
2979
Half Precision Score
12179
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 04:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 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. 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% |
6722
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
1068
198.6 IPS |
|
|
Image Classification (Q)
|
99% |
13564
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3077
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5037
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13993
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10317
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
45736
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6478
513.9 IPS |
|
|
Object Detection (HP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (Q)
|
86% |
13843
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
10927
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
14812
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16788
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4198
32.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
28334
226.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31675
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22800
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38604
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4416
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6722
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2660
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5733
115.2 IPS |
