iPhone 14
Geekbench AI Score
3103
Single Precision Score
5537
Half Precision Score
4461
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 12:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
2296
427.1 IPS |
|
|
Image Classification (Q)
|
96% |
1544
288.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2332
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5403
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
12854
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10719
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1336
105.9 IPS |
|
|
Object Detection (HP)
|
97% |
2611
207.8 IPS |
|
|
Object Detection (Q)
|
94% |
1843
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5287
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
2976
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5096
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10412
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7211
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16352
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26751
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21818
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4817
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3571
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4364
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4270
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6079
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6159
106.4 IPS |
