Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
49534
Single Precision Score
75471
Half Precision Score
35585
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 03:37 AM |
| Views | 12 |
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 |
| 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% |
18081
3.36 KIPS |
|
|
Image Classification (HP)
|
100% |
23260
4.33 KIPS |
|
|
Image Classification (Q)
|
100% |
15259
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37647
610.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
48965
793.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
34875
567.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
399467
466.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016185
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321105
376.1 IPS |
|
|
Object Detection (SP)
|
100% |
26106
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
35160
2.79 KIPS |
|
|
Object Detection (Q)
|
85% |
21275
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
76594
910.1 IPS |
|
|
Face Detection (HP)
|
100% |
104411
1.24 KIPS |
|
|
Face Detection (Q)
|
97% |
59992
715.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
106870
823.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
195011
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74878
599.7 IPS |
|
|
Style Transfer (SP)
|
100% |
604630
777.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1779722
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
502600
648.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78150
2.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102792
3.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52892
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
4316
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5224
6.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
7505
129.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7572
130.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3115
58.4 IPS |
