HP HP Pavilion Laptop 15t-eg300
Geekbench AI Score
2312
Single Precision Score
1027
Half Precision Score
3431
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | November 19 2024 05:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 15t-eg300 |
| Motherboard | HP 8BFD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
2533
472.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2457
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4146
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2973
3.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
14018
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
88% |
1542
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
3358
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5029
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1506
11.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6129
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10635
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7889
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13437
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2784
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.3 IPS |
|
|
Text Classification (Q)
|
97% |
1256
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
60% |
1738
38.8 IPS |
