Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7123
Single Precision Score
7190
Half Precision Score
16606
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 04:18 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 1 Core, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4566
849.1 IPS |
|
|
Image Classification (HP)
|
100% |
4584
852.4 IPS |
|
|
Image Classification (Q)
|
100% |
10653
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4947
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4949
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9417
153.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8559
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
8680
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
33324
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
4364
346.1 IPS |
|
|
Object Detection (HP)
|
100% |
4390
348.2 IPS |
|
|
Object Detection (Q)
|
88% |
11282
904.4 IPS |
|
|
Face Detection (SP)
|
100% |
12740
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
13304
158.1 IPS |
|
|
Face Detection (Q)
|
100% |
28867
343.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11444
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11532
88.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
31724
246.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25733
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26118
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93716
120.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17401
644.4 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
5016
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5671
97.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5647
97.3 IPS |
