Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2222
Single Precision Score
3257
Half Precision Score
5409
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 17 2024 07:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2294
426.5 IPS |
|
|
Image Classification (Q)
|
99% |
3753
700.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3408
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5095
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
2751
3.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
11029
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
98% |
2033
161.8 IPS |
|
|
Object Detection (Q)
|
90% |
3668
293.3 IPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
9806
116.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4217
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7268
56.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
10957
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9318
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16440
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25968
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2981
110.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5979
221.4 IPS |
|
|
Text Classification (SP)
|
71% |
945
1.37 KIPS |
|
|
Text Classification (HP)
|
71% |
1090
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1190
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
89% |
1397
24.3 IPS |
