iPhone 14 Pro Max
Geekbench AI Score
3505
Single Precision Score
6193
Half Precision Score
5022
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 10:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.1 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2624
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6781
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15272
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13213
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2900
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3448
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6066
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11538
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7919
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29620
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24349
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3893
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4831
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6506
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6543
113.1 IPS |
