iPhone 14 Pro Max
Geekbench AI Score
3547
Single Precision Score
17721
Half Precision Score
20074
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | LulzSec |
| Upload Date | August 15 2024 11:25 PM |
| Views | 18 |
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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10114
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
11394
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10018
162.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
10184
165.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6908
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
93643
109.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
97603
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
12188
966.8 IPS |
|
|
Object Detection (Q)
|
91% |
14750
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
19248
228.7 IPS |
|
|
Face Detection (Q)
|
100% |
30843
366.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6249
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60452
465.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
67725
523.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18925
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
133453
171.6 IPS |
|
|
Style Transfer (Q)
|
100% |
127766
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32004
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
38671
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2551
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2416
41.8 IPS |
