iPhone 14
Geekbench AI Score
3662
Single Precision Score
3994
Half Precision Score
3545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1227
228.1 IPS |
|
|
Image Classification (Q)
|
96% |
611
114.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2748
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11354
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12716
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12389
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (Q)
|
92% |
1286
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
4992
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
4168
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8165
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8703
67.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8226
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18708
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23221
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22612
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3921
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4146
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
