CASPER BILGISAYAR SISTEMLERI EXCALIBUR G770
Geekbench AI Score
3109
Single Precision Score
3113
Half Precision Score
8114
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mysteriotr |
| Upload Date | January 17 2025 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400H @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CASPER BILGISAYAR SISTEMLERI EXCALIBUR G770 |
| Motherboard | CASPER BILGISAYAR SISTEMLERI NLAJ 001 |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.8 IPS |
|
|
Image Classification (Q)
|
100% |
5213
969.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4865
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3931
4.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
16127
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (Q)
|
88% |
5231
419.3 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
13607
161.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5400
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5372
41.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14693
114.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10994
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11249
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41421
53.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2403
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2371
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8066
298.7 IPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2037
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
3331
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2676
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2599
44.8 IPS |
