iPhone 14 Pro Max
Geekbench AI Score
3493
Single Precision Score
6061
Half Precision Score
4918
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 01:28 PM |
| 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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (Q)
|
96% |
1742
325.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6686
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15031
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12737
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6028
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6084
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12175
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8331
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18694
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28078
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23705
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4575
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4548
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5892
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5912
102.2 IPS |
