iPhone 14 Pro Max
Geekbench AI Score
3442
Single Precision Score
22666
Half Precision Score
26091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 10:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
9190
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11714
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14154
229.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19027
308.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6619
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
98624
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102486
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
100% |
12139
962.9 IPS |
|
|
Object Detection (Q)
|
91% |
14134
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
30589
363.5 IPS |
|
|
Face Detection (Q)
|
100% |
38961
462.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6032
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71904
554.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
90242
705.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18738
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169613
218.0 IPS |
|
|
Style Transfer (Q)
|
96% |
168077
216.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32638
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35522
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2600
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7257
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8297
143.4 IPS |
