Unknown
Geekbench AI Score
2584
Single Precision Score
2591
Half Precision Score
5865
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 04:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155HL |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Unknown |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 155HL |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
1737
323.1 IPS |
|
|
Image Classification (Q)
|
100% |
1620
301.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2054
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1799
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1808
2.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
6479
7.59 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
88% |
4473
358.6 IPS |
|
|
Face Detection (SP)
|
100% |
5901
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
5884
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
10894
129.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5741
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5719
44.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
12900
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14598
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14407
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49674
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2605
96.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8273
306.4 IPS |
|
|
Text Classification (SP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
3303
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2619
45.1 IPS |
