HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
3701
Single Precision Score
3680
Half Precision Score
9170
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | February 21 2026 04:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (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 | 15.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2476
460.5 IPS |
|
|
Image Classification (HP)
|
100% |
2474
460.1 IPS |
|
|
Image Classification (Q)
|
100% |
6105
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5991
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4455
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4329
5.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
16381
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (Q)
|
88% |
6302
505.1 IPS |
|
|
Face Detection (SP)
|
100% |
5021
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
5114
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
13318
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5513
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5283
40.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
15267
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11568
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11637
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42935
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2434
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2444
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8765
324.6 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4078
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3572
61.5 IPS |
