iPhone 16 Pro Max
Geekbench AI Score
5771
Single Precision Score
6825
Half Precision Score
6183
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | natehsu |
| Upload Date | December 19 2024 02:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2970
552.4 IPS |
|
|
Image Classification (HP)
|
100% |
2836
527.4 IPS |
|
|
Image Classification (Q)
|
97% |
2868
535.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3449
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4416
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15720
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16503
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15557
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3198
253.7 IPS |
|
|
Object Detection (HP)
|
100% |
3714
294.6 IPS |
|
|
Object Detection (Q)
|
91% |
3130
250.1 IPS |
|
|
Face Detection (SP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
10771
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
7211
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13409
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14370
110.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12156
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32937
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39494
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37147
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7990
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8393
309.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6816
251.7 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5993
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
