iPhone 14 Pro
Geekbench AI Score
3627
Single Precision Score
22848
Half Precision Score
26185
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | HeyJude5 |
| Upload Date | August 21 2025 10:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
9916
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
11563
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16121
261.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19116
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7148
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
95177
111.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101483
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
11466
909.5 IPS |
|
|
Object Detection (Q)
|
91% |
13860
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31045
368.9 IPS |
|
|
Face Detection (Q)
|
100% |
40416
480.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6233
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
73119
563.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
92186
720.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19198
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173481
223.0 IPS |
|
|
Style Transfer (Q)
|
96% |
176851
228.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4107
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32266
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35669
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2487
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7125
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8339
144.1 IPS |
