iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
6075
Half Precision Score
4940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:48 AM |
| 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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.0 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6929
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15257
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12966
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2938
233.9 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6086
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3516
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6234
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12219
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8230
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18814
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28146
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23680
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4201
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4610
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5895
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5876
101.5 IPS |
