Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
23807
Single Precision Score
44870
Half Precision Score
18262
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10207
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
18766
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9334
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16447
266.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24439
396.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15381
250.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
122832
143.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
397678
464.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
114818
134.5 IPS |
|
|
Object Detection (SP)
|
100% |
12630
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
23569
1.87 KIPS |
|
|
Object Detection (Q)
|
83% |
10781
871.1 IPS |
|
|
Face Detection (SP)
|
100% |
31422
373.4 IPS |
|
|
Face Detection (HP)
|
100% |
53014
629.9 IPS |
|
|
Face Detection (Q)
|
97% |
26856
320.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
55771
429.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
117530
905.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
44633
356.2 IPS |
|
|
Style Transfer (SP)
|
100% |
173706
223.3 IPS |
|
|
Style Transfer (HP)
|
100% |
621434
798.9 IPS |
|
|
Style Transfer (Q)
|
98% |
150795
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35375
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69254
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26451
979.5 IPS |
|
|
Text Classification (SP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5093
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2444
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5636
97.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1987
37.3 IPS |
