iPhone 14 Pro Max
Geekbench AI Score
3526
Single Precision Score
6029
Half Precision Score
4896
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 11:27 PM |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.5 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7121
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
15173
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13056
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6029
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6118
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12282
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8184
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18950
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28156
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23669
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4839
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3624
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2565
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4467
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4422
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5835
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5810
100.4 IPS |
