Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3550
Single Precision Score
3659
Half Precision Score
9281
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 03 2026 07:42 PM |
| Views | 7 |
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% |
2215
412.0 IPS |
|
|
Image Classification (HP)
|
100% |
2242
417.0 IPS |
|
|
Image Classification (Q)
|
100% |
7254
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6762
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4194
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4189
4.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
15353
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2025
160.6 IPS |
|
|
Object Detection (HP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (Q)
|
88% |
6027
483.1 IPS |
|
|
Face Detection (SP)
|
100% |
5476
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
15158
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5330
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5406
41.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
16422
127.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11385
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11487
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42698
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2433
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8818
326.6 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
3386
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3293
56.7 IPS |
