iPhone 14 Pro Max
Geekbench AI Score
3871
Single Precision Score
4278
Half Precision Score
3798
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | January 12 2025 05:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
1511
281.1 IPS |
|
|
Image Classification (Q)
|
97% |
1469
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2485
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11727
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12348
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11398
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1950
154.7 IPS |
|
|
Object Detection (HP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (Q)
|
91% |
1548
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
5055
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
6014
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8865
68.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7276
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21241
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23752
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22212
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4773
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4016
148.3 IPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4571
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
800
13.8 IPS |
