Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2430
Single Precision Score
3565
Half Precision Score
5808
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 12 2026 12:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
2445
454.8 IPS |
|
|
Image Classification (Q)
|
99% |
4026
751.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3589
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5439
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
2870
3.35 IPS |
|
|
Pose Estimation (Q)
|
97% |
11961
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (HP)
|
98% |
2137
170.0 IPS |
|
|
Object Detection (Q)
|
90% |
3992
319.2 IPS |
|
|
Face Detection (SP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7027
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
10293
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4502
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7737
59.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10835
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10248
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15699
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27733
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6025
223.1 IPS |
|
|
Text Classification (SP)
|
71% |
983
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1312
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
1228
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1825
31.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1827
31.5 IPS |
