Micro-Star International Co., Ltd. MS-7E13
Geekbench AI Score
30592
Single Precision Score
45623
Half Precision Score
23587
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E13 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760M MORTAR WIFI II (MS-7E13) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11700
2.18 KIPS |
|
|
Image Classification (HP)
|
99% |
17394
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10281
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22186
359.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28915
468.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19421
315.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
186016
217.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
462879
540.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
171656
201.1 IPS |
|
|
Object Detection (SP)
|
100% |
14542
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
21663
1.72 KIPS |
|
|
Object Detection (Q)
|
85% |
12378
995.7 IPS |
|
|
Face Detection (SP)
|
100% |
42254
502.1 IPS |
|
|
Face Detection (HP)
|
100% |
56467
670.9 IPS |
|
|
Face Detection (Q)
|
97% |
36425
434.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
72745
560.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
120765
933.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
56950
455.3 IPS |
|
|
Style Transfer (SP)
|
100% |
326758
420.1 IPS |
|
|
Style Transfer (HP)
|
100% |
719930
925.5 IPS |
|
|
Style Transfer (Q)
|
98% |
286711
369.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49230
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61571
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35978
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3697
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4586
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2237
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5595
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5589
96.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2625
49.2 IPS |
