iPhone 14 Pro
Geekbench AI Score
2967
Single Precision Score
16161
Half Precision Score
19359
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
9456
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
12083
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10422
168.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12241
198.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3025
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
58381
68.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
82770
97.0 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
8394
665.8 IPS |
|
|
Object Detection (Q)
|
91% |
12421
992.5 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
22418
266.4 IPS |
|
|
Face Detection (Q)
|
100% |
20545
244.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49604
382.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
68576
536.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17835
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
166329
213.8 IPS |
|
|
Style Transfer (Q)
|
96% |
175428
226.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33053
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37288
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2529
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2250
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2086
36.0 IPS |
