iPhone 14 Pro Max
Geekbench AI Score
3499
Single Precision Score
6182
Half Precision Score
5030
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | June 05 2025 01:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
2565
477.1 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6922
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15498
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13221
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2899
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5957
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3444
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11515
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7917
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18878
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29575
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24486
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4091
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3870
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4831
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4837
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6598
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6600
114.1 IPS |
