Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
33580
Single Precision Score
59864
Half Precision Score
24699
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14317
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
22357
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
12112
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27736
449.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
42936
696.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24527
398.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
167625
195.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
682819
796.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
150501
176.3 IPS |
|
|
Object Detection (SP)
|
100% |
17410
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
29503
2.34 KIPS |
|
|
Object Detection (Q)
|
86% |
14299
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
52891
628.5 IPS |
|
|
Face Detection (HP)
|
100% |
79492
944.5 IPS |
|
|
Face Detection (Q)
|
97% |
42547
507.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
82882
638.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
144317
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62461
498.8 IPS |
|
|
Style Transfer (SP)
|
100% |
300211
385.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1019994
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
252684
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46373
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80382
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34899
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3623
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4576
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2173
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
7115
122.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7102
122.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2596
48.7 IPS |
