iPhone 14 Pro Max
Geekbench AI Score
3511
Single Precision Score
21926
Half Precision Score
24865
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
10012
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
12292
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13692
221.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17904
290.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6908
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
94838
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102187
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
12358
980.3 IPS |
|
|
Object Detection (Q)
|
91% |
14325
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
30107
357.7 IPS |
|
|
Face Detection (Q)
|
100% |
38546
458.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6116
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74087
570.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
94612
739.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18929
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164176
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
167086
215.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32668
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35806
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (Q)
|
93% |
1639
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7127
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7843
135.5 IPS |
