iPhone 14 Pro Max
Geekbench AI Score
3537
Single Precision Score
6123
Half Precision Score
4939
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | March 18 2025 08:27 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.5 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6962
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15137
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13066
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3496
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12186
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8274
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18890
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29089
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24099
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4523
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5957
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5888
101.7 IPS |
