Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
7069
Single Precision Score
2861
Half Precision Score
12552
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 01:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4911
913.3 IPS |
|
|
Image Classification (HP)
|
100% |
929
172.8 IPS |
|
|
Image Classification (Q)
|
99% |
12354
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17490
284.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24067
28.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15826
18.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
76025
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
4831
383.2 IPS |
|
|
Object Detection (HP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (Q)
|
86% |
14042
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
9618
114.3 IPS |
|
|
Face Detection (HP)
|
100% |
2462
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
15421
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16388
126.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4173
32.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
30191
240.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42117
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33284
42.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45353
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2506
92.8 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
960
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4237
85.1 IPS |
