Micro-Star International Co., Ltd. MS-7E40
Geekbench AI Score
19194
Single Precision Score
31376
Half Precision Score
12042
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 12:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E40 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860M MORTAR WIFI (MS-7E40) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7664
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
11706
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5280
981.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
12471
202.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18886
306.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9693
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
107423
125.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
299983
350.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
82511
96.7 IPS |
|
|
Object Detection (SP)
|
100% |
9825
779.3 IPS |
|
|
Object Detection (HP)
|
100% |
15249
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
7098
571.4 IPS |
|
|
Face Detection (SP)
|
100% |
21318
253.3 IPS |
|
|
Face Detection (HP)
|
100% |
35573
422.7 IPS |
|
|
Face Detection (Q)
|
97% |
16124
192.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47189
363.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84445
650.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30329
242.9 IPS |
|
|
Style Transfer (SP)
|
100% |
179406
230.6 IPS |
|
|
Style Transfer (HP)
|
100% |
438722
564.0 IPS |
|
|
Style Transfer (Q)
|
98% |
132632
171.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30994
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42953
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17329
641.7 IPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1430
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4035
69.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1332
25.0 IPS |
