iPhone 14 Pro Max
Geekbench AI Score
3532
Single Precision Score
6206
Half Precision Score
5076
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
2593
482.2 IPS |
|
|
Image Classification (Q)
|
96% |
1806
337.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15240
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12943
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6068
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5993
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11632
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8023
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18508
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29641
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24410
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3918
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4644
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4645
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6914
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6959
120.3 IPS |
