iPhone 14
Geekbench AI Score
3195
Single Precision Score
20406
Half Precision Score
22338
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 09:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
8966
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10112
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13585
220.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14727
238.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6107
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
77915
90.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
85787
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
11175
889.0 IPS |
|
|
Object Detection (Q)
|
91% |
12051
962.9 IPS |
|
|
Face Detection (SP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
29379
349.1 IPS |
|
|
Face Detection (Q)
|
100% |
34684
412.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58007
446.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
78309
612.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
151552
194.8 IPS |
|
|
Style Transfer (Q)
|
96% |
141912
183.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29241
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29500
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2389
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6426
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7398
127.8 IPS |
