iPhone 14 Pro Max
Geekbench AI Score
3533
Single Precision Score
6039
Half Precision Score
5292
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 16 2024 12:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.4 IPS |
|
|
Image Classification (Q)
|
99% |
2515
469.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2154
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15049
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12868
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6040
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6249
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12199
94.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
12332
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18704
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28374
36.5 IPS |
|
|
Style Transfer (Q)
|
100% |
28193
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3713
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4577
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4600
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5865
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5880
101.6 IPS |
