iPhone 14 Pro Max
Geekbench AI Score
3258
Single Precision Score
4887
Half Precision Score
4225
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:23 AM |
| Views | 1 |
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 Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.6 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
1470
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1838
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14686
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12638
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2258
179.8 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
2909
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5615
43.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8691
67.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6541
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17653
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27048
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22646
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4352
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2627
45.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4481
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4454
77.0 IPS |
