iPhone 14 Pro
Geekbench AI Score
3488
Single Precision Score
23170
Half Precision Score
26889
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
10578
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
11885
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13665
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19138
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6428
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
95956
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105162
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
13026
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14694
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31998
380.2 IPS |
|
|
Face Detection (Q)
|
100% |
40763
484.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5939
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75153
579.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
95534
746.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18289
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168810
217.0 IPS |
|
|
Style Transfer (Q)
|
96% |
176477
227.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32689
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37553
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2617
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7515
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8324
143.8 IPS |
