iPhone 14 Pro Max
Geekbench AI Score
3534
Single Precision Score
6069
Half Precision Score
4916
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 09 2024 08:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15101
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12847
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6107
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6171
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12171
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8254
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28074
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23643
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4183
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3712
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4706
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4586
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5869
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5821
100.6 IPS |
