iPhone 14 Pro Max
Geekbench AI Score
3543
Single Precision Score
19720
Half Precision Score
22314
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ntpudpp |
| Upload Date | September 06 2024 12:54 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1419
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
10303
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12759
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11521
186.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13078
212.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7100
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
95200
111.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
100928
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
12589
998.6 IPS |
|
|
Object Detection (Q)
|
91% |
14317
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
30196
358.8 IPS |
|
|
Face Detection (Q)
|
100% |
38412
456.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6231
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75589
582.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95245
744.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18925
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164891
212.0 IPS |
|
|
Style Transfer (Q)
|
96% |
169992
219.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32463
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36171
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2360
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2391
41.3 IPS |
