ALASKA
Geekbench AI Score
1656
Single Precision Score
939
Half Precision Score
2940
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 05:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-12100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ALASKA |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
99% |
3334
621.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1389
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1976
2.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
8896
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
2606
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
4341
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3143
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7436
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5813
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4689
6.03 IPS |
|
|
Style Transfer (Q)
|
98% |
7570
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2580
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
701
936.0 IPS |
|
|
Text Classification (Q)
|
97% |
494
661.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1446
29.0 IPS |
