Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6131
Single Precision Score
1486
Half Precision Score
8275
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 01 2024 04:56 PM |
| Views | 15 |
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% |
3444
640.4 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (Q)
|
97% |
5940
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2608
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
5247
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14203
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8405
9.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
50787
59.5 IPS |
|
|
Object Detection (SP)
|
100% |
3847
305.2 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
88% |
3527
282.7 IPS |
|
|
Face Detection (SP)
|
100% |
6838
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (Q)
|
97% |
8388
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14039
108.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1907
14.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13639
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33156
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22028
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33958
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5588
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8051
298.1 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2139
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
4034
90.0 IPS |
