iPhone 14 Pro Max
Geekbench AI Score
4190
Single Precision Score
4535
Half Precision Score
4298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jonathanmiranda |
| Upload Date | April 09 2025 03:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1706
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
1583
294.5 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11652
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12350
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11910
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (Q)
|
92% |
1758
140.3 IPS |
|
|
Face Detection (SP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
6094
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
5169
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9123
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8186
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21208
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23770
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23261
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4253
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4817
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4791
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1122
19.4 IPS |
