iPhone 14
Geekbench AI Score
3432
Single Precision Score
3738
Half Precision Score
3456
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 12:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
693
128.9 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.9 IPS |
|
|
Image Classification (Q)
|
96% |
676
126.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11280
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12640
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12334
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.4 IPS |
|
|
Object Detection (Q)
|
92% |
1232
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
4045
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8357
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9058
69.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8216
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18955
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22866
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22947
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3297
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
