iPhone 14 Pro
Geekbench AI Score
3402
Single Precision Score
22368
Half Precision Score
25814
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 08:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
9180
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11519
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14282
231.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17368
281.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
96037
112.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102669
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
11349
900.2 IPS |
|
|
Object Detection (Q)
|
91% |
13553
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
31100
369.5 IPS |
|
|
Face Detection (Q)
|
100% |
39764
472.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71620
551.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89619
700.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18030
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170397
219.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171776
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32643
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36048
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2540
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2552
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6974
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8383
144.9 IPS |
