iPhone 14 Pro Max
Geekbench AI Score
3520
Single Precision Score
17435
Half Precision Score
18836
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
9886
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
11173
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10281
166.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
9815
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6860
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
90029
105.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
96784
113.5 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
12126
961.9 IPS |
|
|
Object Detection (Q)
|
91% |
14634
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
17966
213.5 IPS |
|
|
Face Detection (Q)
|
100% |
30792
365.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6236
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
59887
461.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
64858
501.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18759
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
130828
168.2 IPS |
|
|
Style Transfer (Q)
|
100% |
128112
164.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32657
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
37174
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
1611
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2363
40.8 IPS |
