iPhone 14 Pro
Geekbench AI Score
3442
Single Precision Score
18590
Half Precision Score
20134
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 01:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6952
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
8497
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13543
219.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18881
306.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
93137
108.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
97719
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
11579
918.5 IPS |
|
|
Object Detection (Q)
|
91% |
9244
738.6 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
25226
299.7 IPS |
|
|
Face Detection (Q)
|
100% |
32322
384.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5905
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56665
436.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
51052
399.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
148981
191.5 IPS |
|
|
Style Transfer (Q)
|
96% |
154649
199.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20153
744.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23491
867.4 IPS |
|
|
Text Classification (SP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (Q)
|
93% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7183
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8534
147.5 IPS |
