iPad14,6
Geekbench AI Score
3309
Single Precision Score
26323
Half Precision Score
28834
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 10:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
14354
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15354
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19772
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24153
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105905
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105313
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
14936
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16587
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3076
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33226
394.8 IPS |
|
|
Face Detection (Q)
|
100% |
42149
500.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87093
671.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
105031
820.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18097
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203467
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194805
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38836
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43172
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4137
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4331
74.8 IPS |
