iPhone 14 Pro Max
Geekbench AI Score
3398
Single Precision Score
5970
Half Precision Score
4866
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 15 2024 02:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2511
467.0 IPS |
|
|
Image Classification (Q)
|
96% |
1740
325.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5803
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
13997
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12178
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2035
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5979
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3435
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5898
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12084
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8145
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18057
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27954
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23214
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4566
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4675
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5839
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5842
100.9 IPS |
