HP HP EliteBook x360 1040 G6
Geekbench AI Score
636
Single Precision Score
635
Half Precision Score
366
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 24 2025 07:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8665U |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | HP HP EliteBook x360 1040 G6 |
| Motherboard | HP 857F |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8665U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
99% |
230
42.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
746
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
597
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (Q)
|
85% |
253
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
565
6.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
816
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
816
6.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
490
4.59 IPS |
|
|
Style Transfer (SP)
|
100% |
1227
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1227
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1331
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
331
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
512
683.4 IPS |
|
|
Text Classification (HP)
|
100% |
507
676.8 IPS |
|
|
Text Classification (Q)
|
92% |
199
267.5 IPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
58% |
200
4.69 IPS |
