iPhone 14
Geekbench AI Score
3186
Single Precision Score
5638
Half Precision Score
4548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2341
435.3 IPS |
|
|
Image Classification (Q)
|
96% |
1607
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2252
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5441
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
13301
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11080
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2616
208.3 IPS |
|
|
Object Detection (Q)
|
94% |
1844
147.0 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5487
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3035
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5300
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10600
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17011
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27353
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22822
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3901
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4348
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4299
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6397
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6432
111.2 IPS |
