Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1876
Single Precision Score
900
Half Precision Score
4347
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 06 2026 03:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.1 IPS |
|
|
Image Classification (Q)
|
99% |
3904
728.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
4465
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2847
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2426
2.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
9999
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
86% |
3642
292.7 IPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
5468
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3557
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1261
9.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
8731
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6793
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
5694
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
13164
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1071
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3319
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.0 IPS |
|
|
Text Classification (Q)
|
97% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
65% |
1923
38.6 IPS |
