iPhone 14 Pro
Geekbench AI Score
4151
Single Precision Score
4447
Half Precision Score
4206
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
1552
288.6 IPS |
|
|
Image Classification (Q)
|
96% |
1663
310.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2782
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11316
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10563
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10260
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
1947
154.4 IPS |
|
|
Object Detection (Q)
|
92% |
1775
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
5524
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
6332
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
5208
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8690
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9106
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8286
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20921
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23442
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22859
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4576
169.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4140
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4776
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.3 IPS |
