iPhone 14 Pro
Geekbench AI Score
3561
Single Precision Score
23622
Half Precision Score
27308
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Gamepak40 |
| Upload Date | August 09 2025 08:14 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
10285
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12739
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15616
253.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19404
314.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7162
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
103182
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105619
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
13130
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15126
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
30335
360.5 IPS |
|
|
Face Detection (Q)
|
100% |
40785
484.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6106
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75850
584.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95954
750.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18915
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
178513
229.5 IPS |
|
|
Style Transfer (Q)
|
96% |
181492
234.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32926
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37255
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2724
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2580
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7636
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8556
147.9 IPS |
