Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8978
Single Precision Score
16173
Half Precision Score
6317
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 14 2024 12:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3869
719.4 IPS |
|
|
Image Classification (HP)
|
99% |
6709
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
3038
565.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5831
94.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9146
148.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4916
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37156
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
113012
131.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
31910
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4446
352.7 IPS |
|
|
Object Detection (HP)
|
100% |
8766
695.3 IPS |
|
|
Object Detection (Q)
|
89% |
3644
291.7 IPS |
|
|
Face Detection (SP)
|
100% |
9273
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
15381
182.8 IPS |
|
|
Face Detection (Q)
|
97% |
7260
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20822
160.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44513
342.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
15114
122.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66794
85.9 IPS |
|
|
Style Transfer (HP)
|
100% |
182832
235.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54823
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13037
481.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22853
843.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8500
314.8 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
99% |
2675
3.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2633
45.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1001
22.3 IPS |
