iPhone 14
Geekbench AI Score
3362
Single Precision Score
3673
Half Precision Score
3870
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
96% |
1166
217.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2757
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11238
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12707
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12369
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (Q)
|
92% |
1302
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
4768
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8485
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8827
68.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8357
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18717
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22991
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23205
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3485
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4214
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4307
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.2 IPS |
