iPhone 14 Pro Max
Geekbench AI Score
3909
Single Precision Score
4255
Half Precision Score
3653
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.2 IPS |
|
|
Image Classification (Q)
|
97% |
1329
248.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11702
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12413
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11223
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1956
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (Q)
|
91% |
1458
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
5921
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
4031
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8346
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8717
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6812
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21128
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23623
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21933
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3759
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4670
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4552
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
766
13.2 IPS |
