iPhone 14 Pro Max
Geekbench AI Score
3373
Single Precision Score
6033
Half Precision Score
5230
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 15 2024 11:31 PM |
| Views | 9 |
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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
99% |
2523
470.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2170
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14558
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12175
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2866
228.2 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
2831
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5920
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3376
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6050
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12024
92.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
12091
93.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18321
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28834
37.1 IPS |
|
|
Style Transfer (Q)
|
100% |
28560
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5198
191.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3709
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4591
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4561
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5782
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5773
99.8 IPS |
