iPhone 14 Pro
Geekbench AI Score
3944
Single Precision Score
4305
Half Precision Score
3783
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 26 2025 02:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1746
324.8 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.8 IPS |
|
|
Image Classification (Q)
|
97% |
1463
273.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2502
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11757
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12340
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11461
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
1917
152.0 IPS |
|
|
Object Detection (Q)
|
91% |
1602
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8720
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7276
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21221
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23767
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22207
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3801
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4668
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4561
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
790
13.7 IPS |
