iPhone 14 Pro Max
Geekbench AI Score
3424
Single Precision Score
6230
Half Precision Score
5114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:30 PM |
| 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% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2600
483.5 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2690
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
15408
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13182
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2934
233.5 IPS |
|
|
Object Detection (Q)
|
94% |
2100
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3494
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5912
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11532
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8118
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18585
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29030
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24155
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3903
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4863
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6970
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
