Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9188
Single Precision Score
16578
Half Precision Score
6325
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 14 2024 07:43 PM |
| Views | 1 |
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% |
3904
726.0 IPS |
|
|
Image Classification (HP)
|
99% |
7015
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
3022
562.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5896
95.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9259
150.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4895
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37384
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
113640
132.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
31901
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4503
357.2 IPS |
|
|
Object Detection (HP)
|
100% |
8869
703.5 IPS |
|
|
Object Detection (Q)
|
89% |
3327
266.3 IPS |
|
|
Face Detection (SP)
|
100% |
9315
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
15474
183.9 IPS |
|
|
Face Detection (Q)
|
97% |
7247
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20791
160.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44373
341.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
15116
121.6 IPS |
|
|
Style Transfer (SP)
|
100% |
66678
85.7 IPS |
|
|
Style Transfer (HP)
|
100% |
187863
241.5 IPS |
|
|
Style Transfer (Q)
|
98% |
54963
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13391
494.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23438
865.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8531
315.9 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2882
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1211
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1050
23.4 IPS |
