iPhone 14 Pro
Geekbench AI Score
3399
Single Precision Score
19178
Half Precision Score
22137
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ChrisSack |
| Upload Date | January 26 2026 07:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
7694
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
9029
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15208
246.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18964
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
98540
115.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
99997
117.2 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
100% |
10837
859.6 IPS |
|
|
Object Detection (Q)
|
91% |
9808
783.7 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
29023
344.9 IPS |
|
|
Face Detection (Q)
|
100% |
38987
463.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45780
352.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
76435
597.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18414
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
165546
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
149940
193.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17356
640.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27291
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
1912
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6904
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7219
124.7 IPS |
