iPhone 14 Pro Max
Geekbench AI Score
3532
Single Precision Score
6130
Half Precision Score
4965
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | December 12 2024 06:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2557
475.5 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15176
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13114
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2926
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2085
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6056
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3516
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6117
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12221
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8303
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18715
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28305
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23815
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4267
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4644
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5860
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5841
100.9 IPS |
