Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
27307
Single Precision Score
42107
Half Precision Score
20980
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:49 AM |
| Views | 3 |
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 | Balanced |
| 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% |
13920
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
20431
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12073
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27079
439.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
40951
663.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25005
406.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
178130
207.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
660176
770.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
159802
187.2 IPS |
|
|
Object Detection (SP)
|
100% |
15187
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
21685
1.72 KIPS |
|
|
Object Detection (Q)
|
86% |
10311
828.4 IPS |
|
|
Face Detection (SP)
|
100% |
32853
390.4 IPS |
|
|
Face Detection (HP)
|
100% |
38830
461.4 IPS |
|
|
Face Detection (Q)
|
97% |
24027
286.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
74691
575.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
115505
889.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
54258
433.3 IPS |
|
|
Style Transfer (SP)
|
100% |
272888
350.8 IPS |
|
|
Style Transfer (HP)
|
100% |
685090
880.7 IPS |
|
|
Style Transfer (Q)
|
98% |
217149
280.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34273
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54516
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28658
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2034
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3014
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2013
37.7 IPS |
