iPhone 14 Pro Max
Geekbench AI Score
3419
Single Precision Score
23179
Half Precision Score
25998
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 19 2025 02:24 AM |
| Views | 5 |
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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
10126
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
12640
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16085
260.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16268
263.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6045
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
98840
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102065
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
12428
985.8 IPS |
|
|
Object Detection (Q)
|
91% |
15101
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
26832
318.8 IPS |
|
|
Face Detection (Q)
|
100% |
38874
461.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5904
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71960
554.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
89523
699.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18709
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172596
221.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172347
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4012
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33870
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35142
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (Q)
|
93% |
2568
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7223
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8225
142.1 IPS |
