iPhone 14 Pro
Geekbench AI Score
3537
Single Precision Score
23330
Half Precision Score
27197
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
10256
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12954
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14281
231.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19336
313.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6910
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
99781
116.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105061
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
12768
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14470
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
31930
379.4 IPS |
|
|
Face Detection (Q)
|
100% |
40425
480.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75875
584.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
96208
752.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18971
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
166806
214.4 IPS |
|
|
Style Transfer (Q)
|
96% |
180646
233.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32337
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38109
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2483
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7561
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8747
151.2 IPS |
