Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2034
Single Precision Score
963
Half Precision Score
4081
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 08:24 AM |
| Views | 3 |
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% |
1467
272.9 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.4 IPS |
|
|
Image Classification (Q)
|
99% |
5103
951.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1831
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2688
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2258
2.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
12363
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.1 IPS |
|
|
Object Detection (Q)
|
86% |
3750
301.4 IPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
6476
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3556
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1364
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10406
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6827
8.78 IPS |
|
|
Style Transfer (HP)
|
100% |
5723
7.36 IPS |
|
|
Style Transfer (Q)
|
98% |
15157
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1130
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2989
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.1 IPS |
|
|
Text Classification (Q)
|
97% |
425
570.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
65% |
2283
45.9 IPS |
