iPad16,2
Geekbench AI Score
3859
Single Precision Score
26601
Half Precision Score
36390
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
10722
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15504
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16629
269.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21511
348.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7309
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
104747
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
207505
243.2 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
13672
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17915
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34765
413.1 IPS |
|
|
Face Detection (Q)
|
100% |
48470
575.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6808
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78088
601.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
121904
953.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20599
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
210700
270.9 IPS |
|
|
Style Transfer (Q)
|
96% |
251339
324.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34460
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58537
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5434
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6489
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6980
120.6 IPS |
