iPhone 14 Pro Max
Geekbench AI Score
4151
Single Precision Score
4619
Half Precision Score
4264
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | urgui |
| Upload Date | May 08 2025 09:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1673
311.2 IPS |
|
|
Image Classification (HP)
|
100% |
1612
299.7 IPS |
|
|
Image Classification (Q)
|
96% |
1613
301.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2825
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11663
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12341
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11900
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1914
151.8 IPS |
|
|
Object Detection (Q)
|
92% |
1744
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
5031
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8496
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8886
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8130
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21283
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23865
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23296
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4185
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4776
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1105
19.1 IPS |
