Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3753
Single Precision Score
3775
Half Precision Score
9529
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 08 2026 12:00 AM |
| Views | 9 |
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% |
2469
459.1 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (Q)
|
100% |
6421
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3063
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7819
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4312
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4138
4.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
16187
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
2173
172.4 IPS |
|
|
Object Detection (Q)
|
88% |
6624
531.0 IPS |
|
|
Face Detection (SP)
|
100% |
5686
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
6082
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
16363
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5572
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15622
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11634
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11678
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43469
56.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8528
315.8 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3657
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3311
57.0 IPS |
