iPhone 14 Pro Max
Geekbench AI Score
3874
Single Precision Score
4264
Half Precision Score
3793
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jyh12923 |
| Upload Date | December 14 2024 05:18 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1640
304.9 IPS |
|
|
Image Classification (HP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (Q)
|
97% |
1510
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2517
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11755
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12320
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11556
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (HP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (Q)
|
91% |
1590
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
5229
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
6015
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
4071
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8472
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8745
67.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7268
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20825
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23762
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22151
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3756
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4574
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4549
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
790
13.7 IPS |
