iPhone 14
Geekbench AI Score
3204
Single Precision Score
5638
Half Precision Score
4577
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 07:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.7 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2371
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
13322
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11453
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
97% |
2566
204.3 IPS |
|
|
Object Detection (Q)
|
94% |
1873
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3027
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5074
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10330
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7116
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16539
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27090
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21932
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3592
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4259
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4285
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6453
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6534
112.9 IPS |
