Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
50209
Single Precision Score
76212
Half Precision Score
36664
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 12:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18139
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
23650
4.40 KIPS |
|
|
Image Classification (Q)
|
100% |
15400
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39011
632.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
51091
828.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
35611
579.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
405496
473.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
962933
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316779
371.1 IPS |
|
|
Object Detection (SP)
|
100% |
26176
2.08 KIPS |
|
|
Object Detection (HP)
|
100% |
35138
2.79 KIPS |
|
|
Object Detection (Q)
|
85% |
21542
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
78214
929.3 IPS |
|
|
Face Detection (HP)
|
100% |
107448
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
62095
740.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
111329
857.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
199167
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79155
634.0 IPS |
|
|
Style Transfer (SP)
|
100% |
626065
804.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1809067
2.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
526953
679.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77744
2.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
105752
3.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55398
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2487
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7652
131.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7752
133.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3287
61.6 IPS |
