iPhone 14 Pro
Geekbench AI Score
3282
Single Precision Score
6203
Half Precision Score
4964
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 06:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2624
488.0 IPS |
|
|
Image Classification (Q)
|
96% |
1798
335.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2620
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5997
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14686
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12423
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2875
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5907
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3375
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5734
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11613
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8009
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17279
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27947
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21392
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3850
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
5042
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5011
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6856
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6778
117.1 IPS |
