iPad14,6
Geekbench AI Score
3120
Single Precision Score
5792
Half Precision Score
4669
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2750
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6293
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15002
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12899
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2799
222.8 IPS |
|
|
Object Detection (Q)
|
94% |
1702
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
2251
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
5979
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
2863
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5152
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10894
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7356
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18076
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28319
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23374
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4007
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4132
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5557
96.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6530
112.8 IPS |
