iPhone 14
Geekbench AI Score
3164
Single Precision Score
20553
Half Precision Score
22211
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 05:45 PM |
| Views | 5 |
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% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
9010
1.68 KIPS |
|
|
Image Classification (Q)
|
96% |
10404
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13434
217.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13759
223.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
81262
94.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
85500
100.2 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
99% |
11468
912.3 IPS |
|
|
Object Detection (Q)
|
91% |
12507
999.3 IPS |
|
|
Face Detection (SP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
26303
312.5 IPS |
|
|
Face Detection (Q)
|
100% |
34300
407.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
61047
470.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
62132
485.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17087
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154461
198.6 IPS |
|
|
Style Transfer (Q)
|
96% |
147167
189.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28649
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30989
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2511
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6869
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7825
135.2 IPS |
