iPhone 14 Pro
Geekbench AI Score
3560
Single Precision Score
6107
Half Precision Score
4930
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 10:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1445
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
2568
477.5 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7088
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15240
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12948
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1588
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3352
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6105
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12233
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8268
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18957
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28189
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23886
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3667
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2626
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4702
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4695
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5850
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5870
101.4 IPS |
