iPhone 14
Geekbench AI Score
3238
Single Precision Score
20465
Half Precision Score
23233
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 04:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
8648
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
9905
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12790
207.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15808
256.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6064
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
89544
104.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
95801
112.3 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
10947
870.8 IPS |
|
|
Object Detection (Q)
|
91% |
12377
989.0 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
28920
343.6 IPS |
|
|
Face Detection (Q)
|
100% |
36255
430.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5325
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57601
443.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
75682
591.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16700
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
166571
214.1 IPS |
|
|
Style Transfer (Q)
|
96% |
171039
220.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26605
982.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28387
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2546
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6647
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7277
125.8 IPS |
