Micro-Star International Co., Ltd. GP65 Leopard 10SDK
Geekbench AI Score
3155
Single Precision Score
3109
Half Precision Score
4816
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TofuBoi |
| Upload Date | November 02 2024 11:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GP65 Leopard 10SDK |
| Motherboard | Micro-Star International Co., Ltd. MS-16U7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2168
403.2 IPS |
|
|
Image Classification (HP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (Q)
|
100% |
3366
626.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4074
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4091
4.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
7901
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.7 IPS |
|
|
Object Detection (HP)
|
100% |
1942
154.1 IPS |
|
|
Object Detection (Q)
|
87% |
3284
263.4 IPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (Q)
|
97% |
8589
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5384
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5457
42.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
8856
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11567
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12115
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23265
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2520
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4918
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (Q)
|
91% |
1158
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2298
39.6 IPS |
