iPhone 14 Pro Max
Geekbench AI Score
3487
Single Precision Score
6139
Half Precision Score
5012
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 06:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
2568
477.5 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6669
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
15255
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13024
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2888
229.9 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5953
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3440
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6004
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11422
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7921
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18606
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29495
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24297
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3835
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4877
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6556
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6643
114.8 IPS |
