iPad16,3
Geekbench AI Score
3319
Single Precision Score
19045
Half Precision Score
22128
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | JMW63 |
| Upload Date | August 23 2024 11:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
8760
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
9539
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6850
111.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6832
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9760
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106606
124.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
187300
219.7 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
11978
950.1 IPS |
|
|
Object Detection (Q)
|
93% |
15247
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16097
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
19473
231.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5737
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62471
481.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
70285
543.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15003
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
161933
208.2 IPS |
|
|
Style Transfer (Q)
|
100% |
159694
205.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4921
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24306
897.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
37830
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
71% |
6746
9.70 KIPS |
|
|
Text Classification (Q)
|
69% |
6055
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3070
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3021
52.2 IPS |
