iPhone 14 Pro
Geekbench AI Score
3410
Single Precision Score
22603
Half Precision Score
25940
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | djoleek |
| Upload Date | November 05 2025 02:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
9360
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
11211
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14546
235.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19187
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6429
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
97597
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
101533
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
12206
968.2 IPS |
|
|
Object Detection (Q)
|
91% |
14065
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3118
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
30137
358.1 IPS |
|
|
Face Detection (Q)
|
100% |
39691
471.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5832
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69578
536.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
88635
693.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18595
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
167675
215.5 IPS |
|
|
Style Transfer (Q)
|
96% |
169265
218.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3844
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32401
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34775
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2623
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7142
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8269
142.9 IPS |
