iPhone 14 Pro Max
Geekbench AI Score
3535
Single Precision Score
6089
Half Precision Score
5277
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:16 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% |
1434
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
99% |
2537
473.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2149
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15090
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12793
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6040
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6189
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12382
95.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
12105
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18640
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29030
37.3 IPS |
|
|
Style Transfer (Q)
|
100% |
28511
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3664
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2641
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4566
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4552
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5868
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5876
101.5 IPS |
