Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8907
Single Precision Score
16397
Half Precision Score
6459
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 04:53 AM |
| Views | 2 |
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% |
3983
740.7 IPS |
|
|
Image Classification (HP)
|
99% |
7100
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
3295
614.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5760
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9059
146.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4754
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34930
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107662
125.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30258
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4589
364.0 IPS |
|
|
Object Detection (HP)
|
100% |
9108
722.4 IPS |
|
|
Object Detection (Q)
|
84% |
3767
303.8 IPS |
|
|
Face Detection (SP)
|
100% |
10023
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
17122
203.4 IPS |
|
|
Face Detection (Q)
|
97% |
8323
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21238
163.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45834
353.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15979
128.0 IPS |
|
|
Style Transfer (SP)
|
100% |
60421
77.7 IPS |
|
|
Style Transfer (HP)
|
100% |
171699
220.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51651
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12577
464.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22705
838.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8024
297.1 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2631
3.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1085
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1184
22.2 IPS |
