Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3561
Single Precision Score
3648
Half Precision Score
9206
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 04 2026 11:25 AM |
| Views | 10 |
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 | 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% |
2168
403.2 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.0 IPS |
|
|
Image Classification (Q)
|
100% |
5754
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7016
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3995
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4083
4.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
15450
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
2199
174.4 IPS |
|
|
Object Detection (Q)
|
88% |
5997
480.7 IPS |
|
|
Face Detection (SP)
|
100% |
5493
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
5539
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
16545
196.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5348
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5550
42.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14939
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11679
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11757
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
44412
57.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2536
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8057
298.4 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3455
59.5 IPS |
