Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2404
Single Precision Score
1012
Half Precision Score
4011
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 25 2025 08:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
2575
478.9 IPS |
|
|
Image Classification (HP)
|
100% |
425
78.9 IPS |
|
|
Image Classification (Q)
|
99% |
5479
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1913
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3296
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2742
3.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
12392
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1619
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
86% |
3661
294.2 IPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
6598
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4225
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1388
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9838
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7558
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
5997
7.71 IPS |
|
|
Style Transfer (Q)
|
98% |
14935
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2849
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.4 IPS |
|
|
Text Classification (Q)
|
97% |
441
590.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
65% |
1861
37.4 IPS |
