HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
3288
Single Precision Score
3311
Half Precision Score
8144
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2398
446.0 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.6 IPS |
|
|
Image Classification (Q)
|
100% |
6353
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2629
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4793
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4062
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3839
4.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
14453
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (Q)
|
88% |
5312
425.8 IPS |
|
|
Face Detection (SP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
12468
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4928
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4957
38.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
13665
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10678
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10636
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39553
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2273
83.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8058
298.4 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2842
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2824
48.6 IPS |
