iPad16,1
Geekbench AI Score
4360
Single Precision Score
4643
Half Precision Score
4393
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rthiemann |
| Upload Date | December 20 2024 07:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
969
180.1 IPS |
|
|
Image Classification (Q)
|
97% |
1277
238.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11888
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12441
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11725
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (Q)
|
91% |
1585
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
5597
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
5420
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9881
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10302
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9039
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25490
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28389
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26888
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5217
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1356
23.4 IPS |
