Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3037
Single Precision Score
3104
Half Precision Score
7992
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 26 2025 06:49 PM |
| Views | 2 |
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% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
1783
331.5 IPS |
|
|
Image Classification (Q)
|
100% |
5535
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5756
93.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3518
4.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
13479
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (Q)
|
88% |
5469
438.4 IPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
13774
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4546
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4508
34.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
14342
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9379
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9607
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36823
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2191
80.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7291
270.0 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3131
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2673
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2755
47.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2727
47.0 IPS |
