Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
36198
Single Precision Score
64551
Half Precision Score
26899
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iDemon |
| Upload Date | August 25 2025 10:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14881
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
23095
4.29 KIPS |
|
|
Image Classification (Q)
|
100% |
13040
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28319
459.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
44046
714.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25285
411.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
171982
200.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
726935
848.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
153510
179.8 IPS |
|
|
Object Detection (SP)
|
100% |
19056
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
32874
2.61 KIPS |
|
|
Object Detection (Q)
|
86% |
15680
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
56920
676.3 IPS |
|
|
Face Detection (HP)
|
100% |
84571
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
45496
542.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
89601
690.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
154282
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66257
529.1 IPS |
|
|
Style Transfer (SP)
|
100% |
326867
420.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1075664
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
271382
349.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50860
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86940
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38460
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2452
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7937
136.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7953
137.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3240
60.8 IPS |
