iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
6058
Half Precision Score
5273
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:28 AM |
| Views | 2 |
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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
99% |
2547
475.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6922
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15068
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6214
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12172
94.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
12157
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18764
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28196
36.2 IPS |
|
|
Style Transfer (Q)
|
100% |
28082
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3672
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4514
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5874
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5856
101.2 IPS |
