iPhone 14 Pro Max
Geekbench AI Score
3516
Single Precision Score
6026
Half Precision Score
4915
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | January 09 2025 01:28 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1430
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.8 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15066
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12942
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6005
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6174
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12074
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8159
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18730
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28279
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23698
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4233
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4386
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4532
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5829
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5812
100.4 IPS |
