HP HP EliteBook x360 1030 G8 Notebook PC
Geekbench AI Score
400
Single Precision Score
403
Half Precision Score
252
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ppichler |
| Upload Date | December 10 2024 10:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Zorin OS 17.2 |
| Model | HP HP EliteBook x360 1030 G8 Notebook PC |
| Motherboard | HP 8720 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (HP)
|
100% |
317
59.0 IPS |
|
|
Image Classification (Q)
|
99% |
108
20.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
162
2.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
383
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
85% |
187
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (HP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (Q)
|
97% |
414
4.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
600
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
610
4.70 IPS |
|
|
Depth Estimation (Q)
|
63% |
363
3.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1048
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1048
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1068
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
199
7.37 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.1 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.3 IPS |
|
|
Text Classification (Q)
|
92% |
189
253.8 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
58% |
141
3.32 IPS |
