iPhone 14 Pro Max
Geekbench AI Score
3485
Single Precision Score
6118
Half Precision Score
5001
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:43 PM |
| Views | 2 |
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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15262
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13289
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2895
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5945
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3435
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5879
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11631
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7956
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18612
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29531
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24458
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5151
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3865
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4553
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4606
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6522
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6598
114.0 IPS |
