iPad16,3
Geekbench AI Score
8776
Single Precision Score
10362
Half Precision Score
9368
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
4454
828.4 IPS |
|
|
Image Classification (HP)
|
100% |
4800
892.7 IPS |
|
|
Image Classification (Q)
|
97% |
4116
768.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4976
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6773
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7241
117.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28418
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30236
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
28821
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
4825
382.7 IPS |
|
|
Object Detection (HP)
|
100% |
5207
413.0 IPS |
|
|
Object Detection (Q)
|
91% |
4416
352.9 IPS |
|
|
Face Detection (SP)
|
100% |
12946
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
16571
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
12018
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20467
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22304
171.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19326
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58621
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67775
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63855
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11641
429.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12598
465.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10307
380.6 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1640
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1646
28.4 IPS |
