iPhone 14
Geekbench AI Score
3127
Single Precision Score
5533
Half Precision Score
4450
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 12:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (Q)
|
96% |
1606
299.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2299
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5601
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
13070
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10777
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
97% |
2587
205.9 IPS |
|
|
Object Detection (Q)
|
94% |
1830
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5351
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
2951
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5128
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10261
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7100
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16233
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26235
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21647
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4773
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3542
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4248
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6168
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6184
106.9 IPS |
