Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3358
Single Precision Score
3341
Half Precision Score
9383
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 12 2024 10:05 PM |
| 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% |
2158
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.5 IPS |
|
|
Image Classification (Q)
|
100% |
6452
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5847
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3777
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3734
4.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
15654
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1933
153.3 IPS |
|
|
Object Detection (HP)
|
100% |
1903
150.9 IPS |
|
|
Object Detection (Q)
|
88% |
6085
487.8 IPS |
|
|
Face Detection (SP)
|
100% |
5216
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
5539
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
15126
179.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5036
38.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
5087
39.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
15521
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10255
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10819
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
41386
53.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2394
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2413
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8953
331.6 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (Q)
|
85% |
4258
74.5 IPS |
