iPad14,6
Geekbench AI Score
7110
Single Precision Score
7955
Half Precision Score
5810
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | GeekinWitDaBench |
| Upload Date | August 17 2024 04:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3660
680.6 IPS |
|
|
Image Classification (HP)
|
100% |
3664
681.4 IPS |
|
|
Image Classification (Q)
|
99% |
3234
603.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4024
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5029
81.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
4918
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24683
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26274
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
23648
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (HP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (Q)
|
91% |
2852
227.9 IPS |
|
|
Face Detection (SP)
|
100% |
10267
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
11835
140.6 IPS |
|
|
Face Detection (Q)
|
100% |
8102
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16786
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17928
138.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
2793
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42416
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48725
62.6 IPS |
|
|
Style Transfer (Q)
|
100% |
48383
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9921
366.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10214
377.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7517
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1329
23.0 IPS |
