iPhone 14 Pro
Geekbench AI Score
3934
Single Precision Score
4337
Half Precision Score
3790
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1702
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
1627
302.5 IPS |
|
|
Image Classification (Q)
|
97% |
1493
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2484
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11776
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12331
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11408
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (Q)
|
91% |
1591
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
5334
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
5946
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
4094
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8841
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7124
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21223
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23840
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22190
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5074
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4032
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4678
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4695
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
742
12.8 IPS |
