iPhone 14 Pro Max
Geekbench AI Score
3351
Single Precision Score
22927
Half Precision Score
26041
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gmn17 |
| Upload Date | November 20 2025 11:37 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1291
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
9202
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11404
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15966
258.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18960
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6174
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
96900
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101150
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
12204
968.0 IPS |
|
|
Object Detection (Q)
|
91% |
14127
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
31400
373.1 IPS |
|
|
Face Detection (Q)
|
100% |
38066
452.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5798
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71860
553.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
91719
717.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18068
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
172555
221.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172475
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3825
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32444
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34760
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2670
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7112
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8306
143.5 IPS |
