iPhone 14 Pro Max
Geekbench AI Score
3525
Single Precision Score
6176
Half Precision Score
5025
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | April 20 2025 02:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1435
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.5 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2624
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6987
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15468
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13237
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5960
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3443
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6048
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11546
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8051
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18895
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29620
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24328
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4121
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4875
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4824
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6586
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6596
114.0 IPS |
