iPhone 16 Pro Max
Geekbench AI Score
4480
Single Precision Score
7672
Half Precision Score
6126
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | lensmich |
| Upload Date | January 19 2025 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.1 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8657
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17933
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15132
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.0 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7440
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4164
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7559
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13881
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9624
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23422
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36585
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30166
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6900
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4896
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6952
120.1 IPS |
