Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2473
Single Precision Score
2520
Half Precision Score
6685
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 08:27 AM |
| Views | 3 |
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 10 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% |
1528
284.2 IPS |
|
|
Image Classification (HP)
|
100% |
1640
304.9 IPS |
|
|
Image Classification (Q)
|
100% |
4815
895.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4550
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2697
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
10316
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (Q)
|
88% |
4797
384.6 IPS |
|
|
Face Detection (SP)
|
100% |
4173
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
10958
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3507
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3591
27.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10844
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7460
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
7685
9.88 IPS |
|
|
Style Transfer (Q)
|
98% |
27363
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5926
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
1698
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
3221
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2652
45.7 IPS |
