Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
19789
Single Precision Score
33013
Half Precision Score
12443
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 04:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-A WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
7624
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
11809
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
5500
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14353
232.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23420
379.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10863
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
105197
122.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
302923
353.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
83624
98.0 IPS |
|
|
Object Detection (SP)
|
100% |
10304
817.3 IPS |
|
|
Object Detection (HP)
|
100% |
16418
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
7433
598.4 IPS |
|
|
Face Detection (SP)
|
100% |
23551
279.8 IPS |
|
|
Face Detection (HP)
|
100% |
40535
481.6 IPS |
|
|
Face Detection (Q)
|
97% |
16403
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
46543
358.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86553
666.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
30418
243.6 IPS |
|
|
Style Transfer (SP)
|
100% |
180089
231.5 IPS |
|
|
Style Transfer (HP)
|
100% |
452404
581.6 IPS |
|
|
Style Transfer (Q)
|
98% |
140701
181.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31925
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44847
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17898
662.7 IPS |
|
|
Text Classification (SP)
|
100% |
2724
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3505
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1362
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4481
77.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1401
26.3 IPS |
