Micro-Star International Co., Ltd. MS-7E48
Geekbench AI Score
7332
Single Precision Score
2736
Half Precision Score
13087
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 10:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E48 |
| Motherboard | Micro-Star International Co., Ltd. MEG X870E GODLIKE (MS-7E48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5542
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
1025
190.6 IPS |
|
|
Image Classification (Q)
|
99% |
12352
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19803
322.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24544
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15387
18.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
73070
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
5336
423.2 IPS |
|
|
Object Detection (HP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (Q)
|
86% |
13385
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
11453
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
14541
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17612
135.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3195
24.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
27339
218.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34361
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28600
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40883
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4901
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1727
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4478
90.0 IPS |
