Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3413
Single Precision Score
3464
Half Precision Score
8855
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 25 2025 08:24 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% |
2143
398.4 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.2 IPS |
|
|
Image Classification (Q)
|
100% |
6029
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7122
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3836
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3861
4.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
15250
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (Q)
|
88% |
5586
447.8 IPS |
|
|
Face Detection (SP)
|
100% |
5484
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
15270
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5018
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5015
38.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
14399
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10604
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10717
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41154
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9169
339.6 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3491
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2799
48.2 IPS |
