Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
50894
Single Precision Score
77257
Half Precision Score
37023
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 11:31 AM |
| Views | 16 |
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% |
18311
3.41 KIPS |
|
|
Image Classification (HP)
|
100% |
24010
4.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15526
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39208
635.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
51077
828.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
35961
584.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
409290
477.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
979284
1.14 KIPS |
|
|
Pose Estimation (Q)
|
96% |
320909
375.9 IPS |
|
|
Object Detection (SP)
|
100% |
26536
2.10 KIPS |
|
|
Object Detection (HP)
|
100% |
35472
2.81 KIPS |
|
|
Object Detection (Q)
|
85% |
21466
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
78361
931.1 IPS |
|
|
Face Detection (HP)
|
100% |
108308
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
62603
746.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
112763
868.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
200488
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80371
643.7 IPS |
|
|
Style Transfer (SP)
|
100% |
639725
822.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1845636
2.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
537497
693.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79608
2.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106603
3.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56352
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
4348
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5349
7.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2527
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7642
131.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7781
134.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3267
61.3 IPS |
