iPhone 14 Pro Max
Geekbench AI Score
3503
Single Precision Score
6017
Half Precision Score
4911
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 27 2024 09:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.8 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6830
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12787
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2038
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6082
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3496
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6183
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12207
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8379
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18625
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27967
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23620
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4139
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4887
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4419
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4529
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5856
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5852
101.1 IPS |
