iPhone 14
Geekbench AI Score
3167
Single Precision Score
20489
Half Precision Score
22308
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
9028
1.68 KIPS |
|
|
Image Classification (Q)
|
96% |
10712
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13530
219.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15486
251.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5959
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
80487
93.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
82925
97.2 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
11359
903.6 IPS |
|
|
Object Detection (Q)
|
91% |
11944
954.4 IPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
28331
336.6 IPS |
|
|
Face Detection (Q)
|
100% |
36125
429.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5283
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58377
449.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
66428
519.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16306
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153867
197.8 IPS |
|
|
Style Transfer (Q)
|
96% |
138154
178.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29002
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28961
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2504
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6657
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7728
133.6 IPS |
