iPhone 14 Pro Max
Geekbench AI Score
3523
Single Precision Score
6047
Half Precision Score
4921
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2516
468.0 IPS |
|
|
Image Classification (Q)
|
96% |
1728
322.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7062
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15115
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12992
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6025
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6187
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12158
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8332
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18750
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28140
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23659
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4212
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4887
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4682
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4640
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5843
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5793
100.1 IPS |
