Micro-Star International Co., Ltd. MS-7E48
Geekbench AI Score
50053
Single Precision Score
74036
Half Precision Score
37636
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | March 23 2026 08:15 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E48 |
| Motherboard | Micro-Star International Co., Ltd. MEG X870E GODLIKE X EDITION (MS-7E48) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16903
3.14 KIPS |
|
|
Image Classification (HP)
|
100% |
21992
4.09 KIPS |
|
|
Image Classification (Q)
|
100% |
14704
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37898
614.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
48518
786.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
35879
583.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
413020
481.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051210
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
338587
396.6 IPS |
|
|
Object Detection (SP)
|
100% |
26498
2.10 KIPS |
|
|
Object Detection (HP)
|
100% |
33886
2.69 KIPS |
|
|
Object Detection (Q)
|
84% |
21712
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
80633
958.1 IPS |
|
|
Face Detection (HP)
|
100% |
103224
1.23 KIPS |
|
|
Face Detection (Q)
|
97% |
67599
806.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
125051
963.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
192737
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
90853
727.7 IPS |
|
|
Style Transfer (SP)
|
100% |
635289
816.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1893896
2.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
582080
750.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76544
2.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101564
3.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54618
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4666
6.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2360
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7374
127.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7291
126.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3191
59.8 IPS |
