iPhone 14 Pro
Geekbench AI Score
3879
Single Precision Score
4295
Half Precision Score
3826
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 11:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1498
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (Q)
|
97% |
1479
276.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2530
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11763
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12352
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11530
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (Q)
|
91% |
1602
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
5319
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
4176
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8946
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7481
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21187
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23685
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22209
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3897
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4718
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4695
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
767
13.2 IPS |
