Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2263
Single Precision Score
3290
Half Precision Score
5330
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 14 2024 07:40 PM |
| Views | 1 |
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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (Q)
|
99% |
3788
706.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3434
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5138
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3655
4.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
2797
3.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
11439
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
98% |
2044
162.6 IPS |
|
|
Object Detection (Q)
|
90% |
3599
287.8 IPS |
|
|
Face Detection (SP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
9801
116.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4356
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7286
56.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10454
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9563
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16604
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26685
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6012
222.7 IPS |
|
|
Text Classification (SP)
|
71% |
938
1.36 KIPS |
|
|
Text Classification (HP)
|
71% |
1111
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1181
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1195
20.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1190
20.5 IPS |
