iPhone 14 Pro Max
Geekbench AI Score
3527
Single Precision Score
6039
Half Precision Score
4914
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:03 PM |
| Views | 3 |
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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2498
464.5 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7064
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12983
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2903
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6165
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12195
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8223
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18854
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28194
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23767
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4199
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4521
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
4511
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5906
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5863
101.3 IPS |
