Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
46369
Single Precision Score
69445
Half Precision Score
34221
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 05:55 AM |
| 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-7E47 |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17679
3.29 KIPS |
|
|
Image Classification (HP)
|
100% |
22857
4.25 KIPS |
|
|
Image Classification (Q)
|
100% |
14873
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30153
488.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
37579
609.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29306
476.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
391283
456.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
906996
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316098
370.3 IPS |
|
|
Object Detection (SP)
|
100% |
24697
1.96 KIPS |
|
|
Object Detection (HP)
|
100% |
32996
2.62 KIPS |
|
|
Object Detection (Q)
|
85% |
20661
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
68409
812.8 IPS |
|
|
Face Detection (HP)
|
100% |
89745
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
54664
651.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
106014
816.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
192710
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74865
599.6 IPS |
|
|
Style Transfer (SP)
|
100% |
596946
767.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1710043
2.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
499582
644.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75571
2.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100868
3.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52230
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
4264
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5243
7.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2454
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6394
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6489
111.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2953
55.4 IPS |
