iPad16,2
Geekbench AI Score
3867
Single Precision Score
25374
Half Precision Score
35282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 09:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
10820
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15863
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16646
269.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21637
350.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7075
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
102761
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
206273
241.8 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
13826
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18917
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34400
408.8 IPS |
|
|
Face Detection (Q)
|
100% |
52870
628.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6613
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77995
600.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126261
987.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20019
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
209429
269.2 IPS |
|
|
Style Transfer (Q)
|
96% |
257749
332.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4577
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34831
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55253
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3061
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6652
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7671
132.6 IPS |
