iPhone 14 Pro
Geekbench AI Score
3268
Single Precision Score
4905
Half Precision Score
4082
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 02:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1476
274.5 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.4 IPS |
|
|
Image Classification (Q)
|
99% |
1933
360.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14631
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12417
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.7 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2913
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5544
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8716
67.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4401
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17626
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27008
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
27126
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3648
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4421
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4390
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4567
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4506
77.9 IPS |
