Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3754
Single Precision Score
3869
Half Precision Score
9981
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 17 2024 07:36 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% |
2490
463.1 IPS |
|
|
Image Classification (HP)
|
100% |
2578
479.5 IPS |
|
|
Image Classification (Q)
|
100% |
6486
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2716
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5830
94.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4185
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
17600
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (Q)
|
88% |
6405
513.5 IPS |
|
|
Face Detection (SP)
|
100% |
5916
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
6101
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
15989
190.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
17072
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11620
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12010
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
43958
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9925
367.6 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (Q)
|
92% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2969
51.1 IPS |
|
|
Machine Translation (Q)
|
85% |
4884
85.4 IPS |
