ALASKA Default string
Geekbench AI Score
6607
Single Precision Score
8885
Half Precision Score
13046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:28 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% |
4303
800.2 IPS |
|
|
Image Classification (HP)
|
100% |
6392
1.19 KIPS |
|
|
Image Classification (Q)
|
56% |
5745
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5100
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3571
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8587
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33700
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
72131
84.5 IPS |
|
|
Object Detection (SP)
|
100% |
4079
323.5 IPS |
|
|
Object Detection (HP)
|
100% |
5149
408.4 IPS |
|
|
Object Detection (Q)
|
87% |
8651
694.3 IPS |
|
|
Face Detection (SP)
|
100% |
12305
146.2 IPS |
|
|
Face Detection (HP)
|
100% |
15285
181.6 IPS |
|
|
Face Detection (Q)
|
100% |
24319
289.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10811
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16803
129.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
32581
253.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25388
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
47031
60.5 IPS |
|
|
Style Transfer (Q)
|
98% |
83835
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13301
491.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23105
855.6 IPS |
|
|
Text Classification (SP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2239
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2681
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3248
55.9 IPS |
