iPhone 14 Pro Max
Geekbench AI Score
3528
Single Precision Score
6059
Half Precision Score
4927
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 12:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6979
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
15107
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12933
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6058
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6120
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12309
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8196
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18785
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28168
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23657
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4187
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3673
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5908
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5877
101.6 IPS |
