iPhone 14 Pro Max
Geekbench AI Score
3836
Single Precision Score
4181
Half Precision Score
3648
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1663
309.3 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.6 IPS |
|
|
Image Classification (Q)
|
97% |
1426
266.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2455
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11525
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12415
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9777
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (Q)
|
91% |
1593
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
5211
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
5841
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
4013
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8443
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8831
68.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7169
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20449
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21531
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21859
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3811
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4577
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4572
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
700
12.1 IPS |
