iPhone 14 Pro Max
Geekbench AI Score
3600
Single Precision Score
17742
Half Precision Score
19569
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | GubbyMan |
| Upload Date | August 16 2024 09:06 PM |
| Views | 19 |
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% |
1424
264.8 IPS |
|
|
Image Classification (HP)
|
100% |
10216
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
11349
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10238
166.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
10145
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6897
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
92637
108.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
98527
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
11999
951.8 IPS |
|
|
Object Detection (Q)
|
91% |
14328
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
19424
230.8 IPS |
|
|
Face Detection (Q)
|
100% |
31428
373.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6309
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58277
449.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
65338
505.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19151
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
131603
169.2 IPS |
|
|
Style Transfer (Q)
|
100% |
127139
163.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34840
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
37072
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2129
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2459
42.5 IPS |
