iPhone 14 Pro Max
Geekbench AI Score
3401
Single Precision Score
6228
Half Precision Score
5102
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 20 2026 11:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
2621
487.5 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2661
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6551
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
15419
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13237
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2956
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6090
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3505
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11597
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8055
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29212
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24256
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3890
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4739
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6944
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
