Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8837
Single Precision Score
16462
Half Precision Score
6304
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 25 2025 08:32 AM |
| Views | 4 |
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% |
3952
735.0 IPS |
|
|
Image Classification (HP)
|
99% |
7501
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
3164
590.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5606
90.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8974
145.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4687
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34362
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106091
123.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29452
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4369
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
9351
741.7 IPS |
|
|
Object Detection (Q)
|
84% |
3660
295.2 IPS |
|
|
Face Detection (SP)
|
100% |
9786
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
16821
199.9 IPS |
|
|
Face Detection (Q)
|
97% |
8153
97.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19635
151.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45155
347.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14854
119.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59978
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
167835
215.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49957
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12390
457.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22178
818.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7887
292.1 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2888
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1140
21.4 IPS |
