CASPER BILGISAYAR SISTEMLERI NIRVANA ONE A900
Geekbench AI Score
851
Single Precision Score
350
Half Precision Score
1487
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 12:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | CASPER BILGISAYAR SISTEMLERI NIRVANA ONE A900 |
| Motherboard | CASPER BILGISAYAR SISTEMLERI MTL 001 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
99% |
2343
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1621
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
799
0.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
4127
4.84 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
533
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (Q)
|
97% |
1258
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1163
8.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.39 IPS |
|
|
Depth Estimation (Q)
|
77% |
2019
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2317
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1820
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7050
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
938
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.0 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.2 IPS |
|
|
Text Classification (Q)
|
97% |
530
709.6 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (Q)
|
60% |
712
15.9 IPS |
