Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8583
Single Precision Score
15506
Half Precision Score
6051
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 04 2024 11:44 PM |
| Views | 6 |
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% |
3701
688.4 IPS |
|
|
Image Classification (HP)
|
99% |
6605
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
2919
542.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5587
90.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8756
141.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4670
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34951
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106110
123.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
30097
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (HP)
|
100% |
8497
674.0 IPS |
|
|
Object Detection (Q)
|
89% |
3467
277.5 IPS |
|
|
Face Detection (SP)
|
100% |
8858
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
14688
174.5 IPS |
|
|
Face Detection (Q)
|
97% |
6915
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19308
148.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42496
327.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
14399
117.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61897
79.6 IPS |
|
|
Style Transfer (HP)
|
100% |
167130
214.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51089
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12413
458.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22140
817.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8141
301.5 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2707
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (Q)
|
60% |
972
21.7 IPS |
