Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
24545
Single Precision Score
36196
Half Precision Score
19347
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 01:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P (MS-7E02) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10100
1.88 KIPS |
|
|
Image Classification (HP)
|
99% |
15144
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
8920
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15435
250.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18967
307.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14071
228.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
137752
160.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
321922
375.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
119898
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
12599
999.4 IPS |
|
|
Object Detection (HP)
|
100% |
18933
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
10628
855.6 IPS |
|
|
Face Detection (SP)
|
100% |
31163
370.3 IPS |
|
|
Face Detection (HP)
|
100% |
40761
484.3 IPS |
|
|
Face Detection (Q)
|
97% |
26763
319.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
61437
473.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102786
791.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
48076
383.9 IPS |
|
|
Style Transfer (SP)
|
100% |
238236
306.3 IPS |
|
|
Style Transfer (HP)
|
100% |
538909
692.8 IPS |
|
|
Style Transfer (Q)
|
98% |
230540
297.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44515
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53871
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32081
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4248
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4136
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2211
41.5 IPS |
