Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
811
Single Precision Score
814
Half Precision Score
647
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 03:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
492
91.5 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
99% |
386
72.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
470
7.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
827
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
829
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
851
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
85% |
398
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
968
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1065
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
1062
8.18 IPS |
|
|
Depth Estimation (Q)
|
63% |
821
7.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1652
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
1652
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
1946
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
529
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
735
981.5 IPS |
|
|
Text Classification (HP)
|
100% |
738
984.8 IPS |
|
|
Text Classification (Q)
|
92% |
505
679.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
58% |
508
11.9 IPS |
