iPhone 14 Pro Max
Geekbench AI Score
3433
Single Precision Score
6275
Half Precision Score
5113
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.6 IPS |
|
|
Image Classification (Q)
|
96% |
1806
337.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
15653
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13297
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2929
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2105
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5988
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11712
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8176
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18632
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29349
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24288
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4789
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7037
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6958
120.2 IPS |
