iPad14,6
Geekbench AI Score
3057
Single Precision Score
24603
Half Precision Score
26213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 06:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
13410
2.49 KIPS |
|
|
Image Classification (Q)
|
96% |
16064
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19535
316.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18293
296.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6105
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
86451
100.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
97322
114.1 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
15479
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
15852
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
30740
365.3 IPS |
|
|
Face Detection (Q)
|
100% |
40672
483.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5294
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71984
554.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
97935
765.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15702
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
190524
244.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172879
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3287
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34936
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46473
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3815
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4074
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2768
47.8 IPS |
