iPhone 14
Geekbench AI Score
3203
Single Precision Score
20004
Half Precision Score
22471
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 05:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
8682
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
10598
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13077
212.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14522
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6065
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
82149
95.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80641
94.5 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (HP)
|
99% |
11354
903.2 IPS |
|
|
Object Detection (Q)
|
91% |
12323
984.7 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
26346
313.0 IPS |
|
|
Face Detection (Q)
|
100% |
37419
444.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5236
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57863
445.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
77553
606.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17272
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
151132
194.3 IPS |
|
|
Style Transfer (Q)
|
96% |
145845
188.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28163
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27570
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2452
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6166
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7504
129.7 IPS |
