ALASKA Default string
Geekbench AI Score
6492
Single Precision Score
8571
Half Precision Score
12448
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:09 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% |
4206
782.1 IPS |
|
|
Image Classification (HP)
|
100% |
6085
1.13 KIPS |
|
|
Image Classification (Q)
|
56% |
5422
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5066
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3227
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8500
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
32563
38.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68124
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
4113
326.2 IPS |
|
|
Object Detection (HP)
|
100% |
4615
366.1 IPS |
|
|
Object Detection (Q)
|
87% |
7918
635.5 IPS |
|
|
Face Detection (SP)
|
100% |
12302
146.2 IPS |
|
|
Face Detection (HP)
|
100% |
13378
159.0 IPS |
|
|
Face Detection (Q)
|
100% |
22877
271.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10620
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17613
135.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32149
250.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22870
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48645
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88681
114.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5326
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12929
477.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24534
908.6 IPS |
|
|
Text Classification (SP)
|
100% |
4222
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1982
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1941
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2658
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3048
52.5 IPS |
