iPhone 14 Pro
Geekbench AI Score
3929
Single Precision Score
4230
Half Precision Score
3791
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 10:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
1224
227.7 IPS |
|
|
Image Classification (Q)
|
97% |
1490
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2486
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11688
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12344
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11434
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1948
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
1974
156.5 IPS |
|
|
Object Detection (Q)
|
91% |
1604
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
5360
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
4085
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9076
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7364
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21545
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23761
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22202
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3831
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4690
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4592
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
770
13.3 IPS |
