iPhone 14 Pro Max
Geekbench AI Score
3525
Single Precision Score
6040
Half Precision Score
5264
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:39 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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.3 IPS |
|
|
Image Classification (Q)
|
99% |
2521
470.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2153
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15042
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12797
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6137
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12195
94.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12177
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28263
36.3 IPS |
|
|
Style Transfer (Q)
|
100% |
27952
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4876
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3647
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4579
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5841
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5861
101.3 IPS |
