Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
47847
Single Precision Score
71613
Half Precision Score
34863
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:42 PM |
| Views | 2 |
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-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| Power Plan | Balanced |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16971
3.16 KIPS |
|
|
Image Classification (HP)
|
100% |
21706
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
14531
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38321
621.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
49756
806.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
35091
570.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
398692
465.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
938583
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
319171
373.9 IPS |
|
|
Object Detection (SP)
|
100% |
25195
2.00 KIPS |
|
|
Object Detection (HP)
|
100% |
33311
2.64 KIPS |
|
|
Object Detection (Q)
|
85% |
20949
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
77305
918.5 IPS |
|
|
Face Detection (HP)
|
100% |
104493
1.24 KIPS |
|
|
Face Detection (Q)
|
97% |
60019
715.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
105598
813.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
191451
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74902
599.9 IPS |
|
|
Style Transfer (SP)
|
100% |
602653
774.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1762544
2.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
499116
643.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73313
2.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98807
3.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52418
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4226
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2165
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
7080
122.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7136
122.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3056
57.3 IPS |
