iPhone 14 Pro
Geekbench AI Score
3478
Single Precision Score
22810
Half Precision Score
26683
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:07 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
9926
1.85 KIPS |
|
|
Image Classification (Q)
|
97% |
12145
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14531
235.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19395
314.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
97082
113.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103876
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
12682
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14692
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
32073
381.1 IPS |
|
|
Face Detection (Q)
|
100% |
40844
485.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6020
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75459
581.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95707
748.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18160
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
167953
215.9 IPS |
|
|
Style Transfer (Q)
|
96% |
168305
217.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32894
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36644
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2502
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7507
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8439
145.8 IPS |
