iPhone 14 Pro
Geekbench AI Score
3420
Single Precision Score
22606
Half Precision Score
26146
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 13 2026 03:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
9661
1.80 KIPS |
|
|
Image Classification (Q)
|
97% |
10863
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14214
230.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19070
309.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6628
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
97403
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102743
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
12178
966.0 IPS |
|
|
Object Detection (Q)
|
91% |
14652
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
29970
356.1 IPS |
|
|
Face Detection (Q)
|
100% |
39883
473.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5845
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71295
549.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
91471
715.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18741
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
167002
214.7 IPS |
|
|
Style Transfer (Q)
|
96% |
167400
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32778
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35933
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2684
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7032
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8131
140.5 IPS |
