iPhone 14 Pro
Geekbench AI Score
3577
Single Precision Score
22455
Half Precision Score
26288
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | January 21 2025 06:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
10342
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12996
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14150
229.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18068
292.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7020
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
95984
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101135
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
12886
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15195
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
30635
364.0 IPS |
|
|
Face Detection (Q)
|
100% |
39988
475.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6179
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74478
573.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95219
744.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18931
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169834
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
169829
219.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32210
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37552
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (Q)
|
93% |
2291
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7195
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7853
135.7 IPS |
