iPhone 14 Pro Max
Geekbench AI Score
3369
Single Precision Score
6201
Half Precision Score
5082
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
2602
483.8 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6297
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15157
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13031
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2938
233.9 IPS |
|
|
Object Detection (Q)
|
94% |
2105
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3481
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5820
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11561
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8060
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18357
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29035
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24069
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7003
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6941
120.0 IPS |
