Micro-Star International Co., Ltd. GP65 Leopard 10SDK
Geekbench AI Score
9108
Single Precision Score
7420
Half Precision Score
6403
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TofuBoi |
| Upload Date | November 03 2024 12:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| 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% |
3409
634.0 IPS |
|
|
Image Classification (HP)
|
100% |
3244
603.2 IPS |
|
|
Image Classification (Q)
|
100% |
2688
499.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6245
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5265
85.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5258
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
42772
49.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25721
30.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
37078
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
4633
367.5 IPS |
|
|
Object Detection (HP)
|
100% |
4439
352.1 IPS |
|
|
Object Detection (Q)
|
89% |
3487
279.2 IPS |
|
|
Face Detection (SP)
|
100% |
9629
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
8701
103.4 IPS |
|
|
Face Detection (Q)
|
97% |
7711
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22233
171.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17350
133.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
16248
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
73628
94.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50564
65.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61957
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14192
524.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11353
419.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9096
336.8 IPS |
|
|
Text Classification (SP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (Q)
|
97% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2292
39.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1024
22.8 IPS |
