iPad14,6
Geekbench AI Score
3336
Single Precision Score
26473
Half Precision Score
29234
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:04 PM |
| Views | 1 |
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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
14090
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15466
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19495
316.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24073
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6311
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
102274
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106632
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
15243
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16488
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
34173
406.0 IPS |
|
|
Face Detection (Q)
|
100% |
43011
511.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5453
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86542
666.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
104732
818.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18114
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204334
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
196514
253.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39694
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46120
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4381
75.7 IPS |
