iPhone 14 Pro Max
Geekbench AI Score
3546
Single Precision Score
6059
Half Precision Score
4926
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:23 AM |
| 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% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
2490
463.0 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7001
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15142
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12957
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6192
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12168
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8237
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18693
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28353
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23673
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3692
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2641
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4704
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4685
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5883
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5858
101.2 IPS |
