iPhone 14 Pro
Geekbench AI Score
3548
Single Precision Score
24303
Half Precision Score
27537
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | JunkIce |
| Upload Date | July 30 2025 12:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10309
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12791
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16319
264.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19351
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6778
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
105314
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104965
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
12898
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15647
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
32473
385.8 IPS |
|
|
Face Detection (Q)
|
100% |
41465
492.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6069
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75787
583.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
95788
748.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18537
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
181361
233.1 IPS |
|
|
Style Transfer (Q)
|
96% |
183368
236.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33089
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38129
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (Q)
|
93% |
2603
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7675
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8534
147.5 IPS |
