Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
49189
Single Precision Score
73941
Half Precision Score
35622
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:33 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% |
17697
3.29 KIPS |
|
|
Image Classification (HP)
|
100% |
22814
4.24 KIPS |
|
|
Image Classification (Q)
|
100% |
14901
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38502
624.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
49932
809.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
35317
574.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
403046
470.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
939025
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321613
376.7 IPS |
|
|
Object Detection (SP)
|
100% |
25952
2.06 KIPS |
|
|
Object Detection (HP)
|
100% |
33024
2.62 KIPS |
|
|
Object Detection (Q)
|
85% |
20770
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
77360
919.2 IPS |
|
|
Face Detection (HP)
|
100% |
105309
1.25 KIPS |
|
|
Face Detection (Q)
|
97% |
60037
715.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
106752
822.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
195032
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75401
603.9 IPS |
|
|
Style Transfer (SP)
|
100% |
601274
772.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1769440
2.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
500944
646.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75615
2.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102974
3.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53036
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4829
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2433
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7615
131.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7652
131.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3199
60.0 IPS |
