iPhone 14 Pro Max
Geekbench AI Score
2774
Single Precision Score
4990
Half Precision Score
4167
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 03:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (HP)
|
100% |
2591
481.9 IPS |
|
|
Image Classification (Q)
|
96% |
1193
222.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2325
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4061
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
9397
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9137
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (HP)
|
97% |
1632
129.9 IPS |
|
|
Object Detection (Q)
|
94% |
1439
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2048
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
4184
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
2700
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8848
68.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6544
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17898
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28980
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19159
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5070
187.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3852
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4748
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6885
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
