Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
9570
Single Precision Score
18751
Half Precision Score
6633
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4009
745.5 IPS |
|
|
Image Classification (HP)
|
99% |
8286
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
3309
617.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6109
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10931
177.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5019
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
35531
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
125352
146.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30362
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
4661
369.8 IPS |
|
|
Object Detection (HP)
|
100% |
9954
789.6 IPS |
|
|
Object Detection (Q)
|
84% |
3773
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
10005
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
18735
222.6 IPS |
|
|
Face Detection (Q)
|
97% |
8023
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21858
168.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48501
373.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15718
126.0 IPS |
|
|
Style Transfer (SP)
|
100% |
62903
80.9 IPS |
|
|
Style Transfer (HP)
|
100% |
185956
239.0 IPS |
|
|
Style Transfer (Q)
|
98% |
52069
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13822
510.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26917
993.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8328
308.4 IPS |
|
|
Text Classification (SP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3012
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1243
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1276
23.9 IPS |
