HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
3030
Single Precision Score
3090
Half Precision Score
7783
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-f2xxx |
| Motherboard | HP 891E |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
948
176.3 IPS |
|
|
Image Classification (HP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (Q)
|
100% |
5293
984.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4791
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4123
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4063
4.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
14487
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2004
159.0 IPS |
|
|
Object Detection (HP)
|
100% |
2036
161.5 IPS |
|
|
Object Detection (Q)
|
88% |
5127
411.0 IPS |
|
|
Face Detection (SP)
|
100% |
4826
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
12027
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5123
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3432
26.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13213
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11634
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11725
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40349
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6629
245.5 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1574
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3203
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3181
54.8 IPS |
