Micro-Star International Co., Ltd. MS-7E48
Geekbench AI Score
48513
Single Precision Score
73139
Half Precision Score
35061
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | Ultimative Leistung |
| 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% |
17743
3.30 KIPS |
|
|
Image Classification (HP)
|
100% |
23103
4.30 KIPS |
|
|
Image Classification (Q)
|
100% |
15040
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39235
636.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
51049
827.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
35927
584.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
409626
478.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
957982
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
330823
387.5 IPS |
|
|
Object Detection (SP)
|
100% |
25850
2.05 KIPS |
|
|
Object Detection (HP)
|
100% |
34177
2.71 KIPS |
|
|
Object Detection (Q)
|
85% |
20776
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
76677
911.1 IPS |
|
|
Face Detection (HP)
|
100% |
103823
1.23 KIPS |
|
|
Face Detection (Q)
|
97% |
58312
695.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
103836
800.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
192389
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72845
583.5 IPS |
|
|
Style Transfer (SP)
|
100% |
589527
757.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1704909
2.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
492107
634.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74373
2.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100682
3.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52188
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2219
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
7368
126.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7197
124.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3123
58.6 IPS |
