iPhone 14 Pro Max
Geekbench AI Score
3901
Single Precision Score
4247
Half Precision Score
3646
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (Q)
|
97% |
1318
245.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2482
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11698
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12355
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11281
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
100% |
1875
148.8 IPS |
|
|
Object Detection (Q)
|
91% |
1455
116.3 IPS |
|
|
Face Detection (SP)
|
100% |
5233
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
5785
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
4004
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8727
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8955
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6856
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21108
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23629
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21668
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4763
175.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3668
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4561
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4653
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
762
13.2 IPS |
