iPhone 14 Pro
Geekbench AI Score
3519
Single Precision Score
23745
Half Precision Score
27571
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Napolitain |
| Upload Date | April 15 2025 01:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
10652
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
13019
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16176
262.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19245
312.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7083
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
102712
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104923
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
13200
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
15492
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
31443
373.6 IPS |
|
|
Face Detection (Q)
|
100% |
40642
482.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5992
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75723
583.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97022
758.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18924
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166342
213.8 IPS |
|
|
Style Transfer (Q)
|
96% |
181715
234.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31550
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36893
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2730
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7557
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8639
149.3 IPS |
