iPhone 14 Pro
Geekbench AI Score
3424
Single Precision Score
22903
Half Precision Score
26437
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 05:01 AM |
| Views | 1 |
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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
9450
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
11645
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14310
232.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19047
308.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6393
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
95554
111.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
100997
118.4 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
100% |
12294
975.2 IPS |
|
|
Object Detection (Q)
|
91% |
13890
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
30212
359.0 IPS |
|
|
Face Detection (Q)
|
100% |
38760
460.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5850
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71318
549.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
90395
706.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18210
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171912
221.0 IPS |
|
|
Style Transfer (Q)
|
96% |
170419
219.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32874
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38453
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2892
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7243
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8072
139.5 IPS |
