Micro-Star International Co., Ltd. GL65 Leopard 10SFK
Geekbench AI Score
11476
Single Precision Score
18927
Half Precision Score
8220
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ferluchin |
| Upload Date | February 17 2025 06:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GL65 Leopard 10SFK |
| Motherboard | Micro-Star International Co., Ltd. MS-16U7 |
| Power Plan | Alto rendimiento |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4886
908.6 IPS |
|
|
Image Classification (HP)
|
100% |
7905
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
3859
719.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7236
117.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9667
156.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5901
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
58757
68.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
166618
194.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
49673
58.2 IPS |
|
|
Object Detection (SP)
|
100% |
5884
466.7 IPS |
|
|
Object Detection (HP)
|
100% |
9405
746.0 IPS |
|
|
Object Detection (Q)
|
84% |
4556
367.5 IPS |
|
|
Face Detection (SP)
|
100% |
13780
163.7 IPS |
|
|
Face Detection (HP)
|
100% |
21166
251.5 IPS |
|
|
Face Detection (Q)
|
97% |
11059
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29825
229.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55800
429.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
21179
169.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96785
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232291
298.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81025
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19178
708.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29452
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12008
444.6 IPS |
|
|
Text Classification (SP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (HP)
|
99% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2390
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1144
21.5 IPS |
