Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7172
Single Precision Score
7182
Half Precision Score
16676
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 04:39 PM |
| Views | 8 |
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% |
4601
855.7 IPS |
|
|
Image Classification (HP)
|
100% |
4613
857.9 IPS |
|
|
Image Classification (Q)
|
100% |
10740
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5052
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5058
82.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9430
153.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8699
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8683
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
33434
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
4395
348.6 IPS |
|
|
Object Detection (HP)
|
100% |
4394
348.5 IPS |
|
|
Object Detection (Q)
|
88% |
11356
910.3 IPS |
|
|
Face Detection (SP)
|
100% |
12673
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
12815
152.3 IPS |
|
|
Face Detection (Q)
|
100% |
29131
346.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11535
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11552
89.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
31780
247.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26138
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26171
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93573
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5520
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5522
203.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17454
646.4 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5038
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5673
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5671
97.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5681
97.9 IPS |
