iPhone 14
Geekbench AI Score
3561
Single Precision Score
3884
Half Precision Score
3724
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 12:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
1203
223.8 IPS |
|
|
Image Classification (Q)
|
96% |
1141
213.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11322
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12367
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12289
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (Q)
|
92% |
1181
94.3 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
4202
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8391
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8695
67.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8289
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18951
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23745
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22543
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3896
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3280
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4328
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4274
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.7 IPS |
