Hewlett-Packard HP Spectre Pro x360 G1
Geekbench AI Score
303
Single Precision Score
305
Half Precision Score
224
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | 6lagos |
| Upload Date | December 17 2025 01:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-5600U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Hewlett-Packard HP Spectre Pro x360 G1 |
| Motherboard | Hewlett-Packard 8035 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.3 IPS |
|
|
Image Classification (Q)
|
99% |
177
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
209
3.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
399
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
354
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
85% |
124
10.00 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.08 IPS |
|
|
Face Detection (Q)
|
97% |
305
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
330
2.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
332
2.56 IPS |
|
|
Depth Estimation (Q)
|
63% |
258
2.42 IPS |
|
|
Style Transfer (SP)
|
100% |
505
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
508
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
632
0.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
178
6.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
172
6.38 IPS |
|
|
Text Classification (SP)
|
100% |
361
481.4 IPS |
|
|
Text Classification (HP)
|
100% |
370
494.1 IPS |
|
|
Text Classification (Q)
|
92% |
170
227.8 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (Q)
|
58% |
137
3.22 IPS |
