iPhone 16 Pro Max
Geekbench AI Score
4538
Single Precision Score
7768
Half Precision Score
6199
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | natehsu |
| Upload Date | December 19 2024 03:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2967
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9014
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18356
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15404
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2128
168.8 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7500
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4251
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7806
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14244
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9888
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24239
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37660
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30823
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5645
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6965
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7014
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
