iPhone 14 Pro Max
Geekbench AI Score
3489
Single Precision Score
6133
Half Precision Score
4995
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 08:11 AM |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2627
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6694
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15283
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12903
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.6 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5918
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3438
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6051
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11488
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7965
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18341
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29350
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24304
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5087
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3870
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4798
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4739
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6537
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6559
113.3 IPS |
