iPhone 14 Pro
Geekbench AI Score
3554
Single Precision Score
22597
Half Precision Score
25728
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 26 2025 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1432
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
10449
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12600
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13858
224.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18056
292.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7060
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
96275
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
101733
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
13043
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14983
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
29424
349.6 IPS |
|
|
Face Detection (Q)
|
100% |
39132
465.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6136
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75597
582.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
96324
753.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19063
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
167848
215.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171412
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32970
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36878
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1855
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7567
130.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8291
143.3 IPS |
