Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6112
Single Precision Score
1484
Half Precision Score
8248
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 04:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
3469
645.2 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (Q)
|
97% |
5872
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
5278
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14219
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8402
9.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
49818
58.4 IPS |
|
|
Object Detection (SP)
|
100% |
3818
302.9 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
88% |
3502
280.7 IPS |
|
|
Face Detection (SP)
|
100% |
6838
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.41 IPS |
|
|
Face Detection (Q)
|
97% |
8312
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14216
109.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1896
14.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13566
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32970
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21952
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33739
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3784
139.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8312
307.8 IPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2133
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3308
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
60% |
3997
89.2 IPS |
