iPad16,2
Geekbench AI Score
4097
Single Precision Score
25290
Half Precision Score
35686
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | medeirosdez |
| Upload Date | July 06 2025 02:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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 | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
10845
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15259
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16554
268.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21508
348.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8324
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
107757
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205424
240.8 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
13950
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18816
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
34236
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
52887
628.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78019
601.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
126707
990.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21969
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
207104
266.2 IPS |
|
|
Style Transfer (Q)
|
96% |
257197
331.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34495
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58508
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3308
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3457
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6385
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7576
130.9 IPS |
