Micro-Star International Co., Ltd. MS-7E13
Geekbench AI Score
27642
Single Precision Score
47558
Half Precision Score
21589
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 01:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11496
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
19137
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
10311
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17907
290.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24347
394.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16243
264.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
167010
194.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
471318
549.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
137800
161.4 IPS |
|
|
Object Detection (SP)
|
100% |
14831
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
24031
1.91 KIPS |
|
|
Object Detection (Q)
|
83% |
12495
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
36981
439.4 IPS |
|
|
Face Detection (HP)
|
100% |
51145
607.7 IPS |
|
|
Face Detection (Q)
|
97% |
32205
384.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
68035
524.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
133692
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54043
431.4 IPS |
|
|
Style Transfer (SP)
|
100% |
229701
295.3 IPS |
|
|
Style Transfer (HP)
|
100% |
786320
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
196575
253.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41890
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78000
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33746
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5007
6.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2468
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5342
92.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2678
50.2 IPS |
