iPhone 14 Pro Max
Geekbench AI Score
3879
Single Precision Score
4278
Half Precision Score
3740
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 01:30 PM |
| Views | 1 |
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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
1585
294.7 IPS |
|
|
Image Classification (Q)
|
97% |
1407
262.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11683
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12350
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11386
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1907
151.2 IPS |
|
|
Object Detection (HP)
|
100% |
1884
149.5 IPS |
|
|
Object Detection (Q)
|
91% |
1520
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
6245
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
4124
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9051
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7210
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20961
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23412
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22027
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4526
167.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4595
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4677
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
798
13.8 IPS |
