Micro-Star International Co., Ltd. GP66 Leopard 11UG
Geekbench AI Score
16815
Single Precision Score
27809
Half Precision Score
11052
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 07:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. GP66 Leopard 11UG |
| Motherboard | Micro-Star International Co., Ltd. MS-1543 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6783
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
10512
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
5005
930.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11448
185.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17252
279.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9072
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
86268
100.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
253243
295.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
69824
81.8 IPS |
|
|
Object Detection (SP)
|
100% |
8064
639.6 IPS |
|
|
Object Detection (HP)
|
100% |
14168
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
6092
490.4 IPS |
|
|
Face Detection (SP)
|
100% |
20438
242.9 IPS |
|
|
Face Detection (HP)
|
100% |
32614
387.5 IPS |
|
|
Face Detection (Q)
|
97% |
16104
192.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
42018
323.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75284
580.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
27933
223.6 IPS |
|
|
Style Transfer (SP)
|
100% |
139839
179.8 IPS |
|
|
Style Transfer (HP)
|
100% |
353191
454.0 IPS |
|
|
Style Transfer (Q)
|
98% |
114472
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27907
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38272
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15975
591.5 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3373
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1336
25.1 IPS |
