CASPER BILGISAYAR SISTEMLERI EXCALIBUR G770
Geekbench AI Score
1906
Single Precision Score
946
Half Precision Score
4119
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mysteriotr |
| Upload Date | January 17 2025 05:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| 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% |
1459
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
99% |
4114
767.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
2255
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3047
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2549
2.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
12554
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
86% |
3731
299.9 IPS |
|
|
Face Detection (SP)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
5872
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3856
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1384
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9050
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7062
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
6071
7.80 IPS |
|
|
Style Transfer (Q)
|
98% |
12461
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2698
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
571
761.9 IPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
65% |
1650
33.1 IPS |
