iPhone 14 Pro Max
Geekbench AI Score
3409
Single Precision Score
20067
Half Precision Score
23657
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 12:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
6699
1.25 KIPS |
|
|
Image Classification (Q)
|
97% |
11174
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14959
242.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19057
308.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6598
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
97756
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
100338
117.6 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
100% |
10384
823.7 IPS |
|
|
Object Detection (Q)
|
91% |
12350
986.8 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
31234
371.1 IPS |
|
|
Face Detection (Q)
|
100% |
39877
473.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5840
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56640
436.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
57619
450.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18700
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
158449
203.7 IPS |
|
|
Style Transfer (Q)
|
96% |
173785
224.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26175
966.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31513
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1997
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7148
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8282
143.1 IPS |
