iPhone 14 Pro Max
Geekbench AI Score
3588
Single Precision Score
6205
Half Precision Score
5394
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | GubbyMan |
| Upload Date | August 16 2024 09:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (Q)
|
99% |
2547
475.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2252
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6956
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15357
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13032
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2933
233.5 IPS |
|
|
Object Detection (Q)
|
94% |
2083
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6063
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6283
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12324
95.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12336
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18996
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29159
37.5 IPS |
|
|
Style Transfer (Q)
|
100% |
29081
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5240
193.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3742
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4747
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6098
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6048
104.5 IPS |
