iPad16,2
Geekbench AI Score
3767
Single Precision Score
4219
Half Precision Score
4076
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (HP)
|
100% |
1255
233.3 IPS |
|
|
Image Classification (Q)
|
97% |
1102
205.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3084
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3407
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13037
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13490
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12903
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (Q)
|
91% |
1562
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
5016
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
5777
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
5153
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10448
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10906
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9447
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27062
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30535
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29081
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4551
168.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3879
143.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3439
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
98% |
618
10.7 IPS |
