ALASKA Default string
Geekbench AI Score
6549
Single Precision Score
8370
Half Precision Score
12091
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:36 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% |
4438
825.4 IPS |
|
|
Image Classification (HP)
|
100% |
6001
1.12 KIPS |
|
|
Image Classification (Q)
|
56% |
4937
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5143
83.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3072
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8471
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
32351
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
67443
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
3768
298.9 IPS |
|
|
Object Detection (HP)
|
100% |
4837
383.7 IPS |
|
|
Object Detection (Q)
|
87% |
8047
645.8 IPS |
|
|
Face Detection (SP)
|
100% |
12239
145.4 IPS |
|
|
Face Detection (HP)
|
100% |
13193
156.8 IPS |
|
|
Face Detection (Q)
|
100% |
21843
259.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10806
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16285
125.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31086
241.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25030
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
47044
60.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86548
111.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13303
491.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23660
876.2 IPS |
|
|
Text Classification (SP)
|
100% |
4214
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1831
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3188
54.9 IPS |
