iPhone 14
Geekbench AI Score
3173
Single Precision Score
5683
Half Precision Score
4682
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 15 2026 04:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
2331
433.5 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2485
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14465
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12108
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
97% |
2679
213.3 IPS |
|
|
Object Detection (Q)
|
94% |
1935
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5713
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3263
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5247
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10560
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7443
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17213
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27117
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22567
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6558
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6549
113.2 IPS |
