iPad16,3
Geekbench AI Score
8714
Single Precision Score
10587
Half Precision Score
9348
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 04:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4470
831.3 IPS |
|
|
Image Classification (HP)
|
100% |
4794
891.6 IPS |
|
|
Image Classification (Q)
|
97% |
4135
771.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4910
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6720
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7180
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28193
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30063
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28634
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4758
377.4 IPS |
|
|
Object Detection (HP)
|
100% |
5211
413.3 IPS |
|
|
Object Detection (Q)
|
91% |
4423
353.4 IPS |
|
|
Face Detection (SP)
|
100% |
12969
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
16377
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
11989
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20269
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22412
172.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19304
150.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57805
74.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67816
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63911
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11584
427.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12673
467.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10305
380.5 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5391
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1633
28.2 IPS |
