HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
1758
Single Precision Score
1702
Half Precision Score
1183
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-f2xxx |
| Motherboard | HP 891E |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
99% |
782
145.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
959
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2191
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2312
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
85% |
921
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2054
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
1987
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1901
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1894
14.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1625
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2191
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2193
2.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4396
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1278
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1121
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
410
551.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
58% |
454
10.7 IPS |
