Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9261
Single Precision Score
17178
Half Precision Score
6626
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:27 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% |
4041
751.6 IPS |
|
|
Image Classification (HP)
|
99% |
7281
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
3316
618.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6172
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10197
165.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5059
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35583
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
108823
127.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30491
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4690
372.0 IPS |
|
|
Object Detection (HP)
|
100% |
9594
761.0 IPS |
|
|
Object Detection (Q)
|
84% |
3863
311.6 IPS |
|
|
Face Detection (SP)
|
100% |
10462
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
18257
216.9 IPS |
|
|
Face Detection (Q)
|
97% |
8579
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21670
167.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46966
361.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
16135
129.2 IPS |
|
|
Style Transfer (SP)
|
100% |
62911
80.9 IPS |
|
|
Style Transfer (HP)
|
100% |
175883
226.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51691
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12749
470.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23116
853.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8417
311.7 IPS |
|
|
Text Classification (SP)
|
100% |
1989
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2637
3.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1093
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1256
23.6 IPS |
