iPhone 14 Pro
Geekbench AI Score
2087
Single Precision Score
17769
Half Precision Score
19033
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | antydizajn |
| Upload Date | January 30 2026 12:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
8200
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
9386
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11525
186.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14520
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
66364
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
70199
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
100% |
10399
824.9 IPS |
|
|
Object Detection (Q)
|
91% |
11381
909.4 IPS |
|
|
Face Detection (SP)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
20435
242.8 IPS |
|
|
Face Detection (Q)
|
100% |
26303
312.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3475
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55544
427.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
68643
536.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13082
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
133047
171.0 IPS |
|
|
Style Transfer (Q)
|
96% |
129735
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26324
972.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28539
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
1437
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5884
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5965
103.1 IPS |
