Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
4331
Single Precision Score
4394
Half Precision Score
11234
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 12 2026 12:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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 | Paragon Perf V4 Power Plan |
| 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% |
2900
539.3 IPS |
|
|
Image Classification (HP)
|
100% |
3052
567.5 IPS |
|
|
Image Classification (Q)
|
100% |
8635
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3713
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8965
145.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4955
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4875
5.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
18529
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (Q)
|
88% |
8268
662.8 IPS |
|
|
Face Detection (SP)
|
100% |
6460
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
17968
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6429
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6426
49.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
19126
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13539
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
50709
65.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3074
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3083
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10131
375.2 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3870
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3796
65.4 IPS |
