Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2268
Single Precision Score
2387
Half Precision Score
6207
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 01:53 PM |
| Views | 2 |
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% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
1430
265.9 IPS |
|
|
Image Classification (Q)
|
100% |
4616
858.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4880
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2520
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
10369
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (Q)
|
88% |
4090
327.9 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
4107
48.8 IPS |
|
|
Face Detection (Q)
|
100% |
11379
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3241
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3600
27.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10191
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6966
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
7218
9.28 IPS |
|
|
Style Transfer (Q)
|
98% |
26877
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5400
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
2723
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2040
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2064
35.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1939
33.4 IPS |
