Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
38187
Single Precision Score
65840
Half Precision Score
28186
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 08 2025 10:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Performances leves |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15490
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
23394
4.35 KIPS |
|
|
Image Classification (Q)
|
100% |
13600
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30021
486.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
45582
738.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
26561
431.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
196925
229.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
759245
885.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
176488
206.7 IPS |
|
|
Object Detection (SP)
|
100% |
19794
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
32757
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
16092
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
59705
709.4 IPS |
|
|
Face Detection (HP)
|
100% |
86216
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
47827
570.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
94505
728.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
156665
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69385
554.1 IPS |
|
|
Style Transfer (SP)
|
100% |
364284
468.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1153571
1.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
301164
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54901
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90076
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40852
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2502
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
7721
133.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7797
134.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3020
56.6 IPS |
