iPhone 14
Geekbench AI Score
1585
Single Precision Score
2207
Half Precision Score
2071
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 07:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
783
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (Q)
|
96% |
915
170.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1488
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2911
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
3589
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (HP)
|
97% |
944
75.2 IPS |
|
|
Object Detection (Q)
|
94% |
784
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (Q)
|
100% |
1329
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1902
14.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5342
41.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3613
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6968
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8949
11.5 IPS |
|
|
Style Transfer (Q)
|
96% |
9673
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1495
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
2265
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2197
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1410
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2487
43.0 IPS |
