iPhone 14 Pro Max
Geekbench AI Score
3565
Single Precision Score
6114
Half Precision Score
5334
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | September 03 2024 04:44 AM |
| Views | 1 |
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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.4 IPS |
|
|
Image Classification (Q)
|
99% |
2531
472.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7026
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15404
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13097
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3508
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6336
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12382
95.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
12398
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18912
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28605
36.8 IPS |
|
|
Style Transfer (Q)
|
100% |
28734
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4270
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3714
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4619
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4609
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5880
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5896
101.9 IPS |
