iPad16,5
Geekbench AI Score
8876
Single Precision Score
10729
Half Precision Score
9463
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4515
839.6 IPS |
|
|
Image Classification (HP)
|
100% |
4850
902.0 IPS |
|
|
Image Classification (Q)
|
97% |
4172
778.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4877
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6747
109.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7158
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28221
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30050
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28621
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4735
375.6 IPS |
|
|
Object Detection (HP)
|
100% |
5212
413.4 IPS |
|
|
Object Detection (Q)
|
91% |
4413
352.6 IPS |
|
|
Face Detection (SP)
|
100% |
12827
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16354
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
11952
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20534
158.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22274
171.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19000
148.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58375
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
68001
87.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63828
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11774
434.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12742
470.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10420
384.8 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6234
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1638
28.3 IPS |
