iPad16,1
Geekbench AI Score
4312
Single Precision Score
4844
Half Precision Score
4386
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | balazskake |
| Upload Date | February 03 2025 05:02 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1077
200.2 IPS |
|
|
Image Classification (HP)
|
100% |
1456
270.7 IPS |
|
|
Image Classification (Q)
|
97% |
1252
233.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3266
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12176
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12797
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12026
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
1796
142.4 IPS |
|
|
Object Detection (Q)
|
91% |
1500
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
5898
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
5196
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10087
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10691
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9230
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26062
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29364
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27580
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5356
197.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3639
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1292
22.3 IPS |
