ALASKA Default string
Geekbench AI Score
6414
Single Precision Score
8772
Half Precision Score
12828
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ALASKA Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4329
805.0 IPS |
|
|
Image Classification (HP)
|
100% |
6318
1.17 KIPS |
|
|
Image Classification (Q)
|
56% |
5722
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5199
84.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8302
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
32752
38.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
69496
81.4 IPS |
|
|
Object Detection (SP)
|
100% |
3932
311.8 IPS |
|
|
Object Detection (HP)
|
100% |
5070
402.2 IPS |
|
|
Object Detection (Q)
|
87% |
8301
666.2 IPS |
|
|
Face Detection (SP)
|
100% |
12167
144.6 IPS |
|
|
Face Detection (HP)
|
100% |
14063
167.1 IPS |
|
|
Face Detection (Q)
|
100% |
24215
287.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10773
83.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16807
129.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31743
247.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23434
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49798
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89097
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13440
496.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24249
898.0 IPS |
|
|
Text Classification (SP)
|
100% |
4175
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3125
53.8 IPS |
