iPhone 14 Pro Max
Geekbench AI Score
3491
Single Precision Score
6067
Half Precision Score
4943
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | March 18 2025 08:41 AM |
| Views | 13 |
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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.7 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6955
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15263
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13119
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2899
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5832
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6117
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12076
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8272
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18698
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28583
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23735
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4175
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4593
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4702
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5770
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5812
100.4 IPS |
