HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
2415
Single Precision Score
719
Half Precision Score
4153
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1477
274.7 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
97% |
3285
613.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
2937
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3967
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2775
3.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
16179
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.6 IPS |
|
|
Object Detection (Q)
|
88% |
1716
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
97% |
4181
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4624
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
950
7.32 IPS |
|
|
Depth Estimation (Q)
|
77% |
6583
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9594
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7152
9.19 IPS |
|
|
Style Transfer (Q)
|
98% |
14251
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1393
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4135
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.6 IPS |
|
|
Text Classification (Q)
|
97% |
1589
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1995
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
60% |
2212
49.3 IPS |
