iPhone 14 Pro Max
Geekbench AI Score
3260
Single Precision Score
21879
Half Precision Score
25164
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | atti |
| Upload Date | April 05 2026 02:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1359
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
10022
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
12131
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14825
240.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18905
306.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
97002
113.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101456
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
100% |
11459
908.9 IPS |
|
|
Object Detection (Q)
|
89% |
13598
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
27683
328.9 IPS |
|
|
Face Detection (Q)
|
100% |
39308
467.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4515
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
62781
483.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
79703
622.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12942
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
169129
217.4 IPS |
|
|
Style Transfer (Q)
|
96% |
172847
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3484
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33311
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36218
1.34 KIPS |
|
|
Text Classification (SP)
|
99% |
5242
7.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
1978
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7182
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8298
143.4 IPS |
