iPhone 16 Pro Max
Geekbench AI Score
4529
Single Precision Score
7753
Half Precision Score
6172
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | February 02 2025 02:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1962
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8943
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18168
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15375
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.3 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7434
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4176
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7755
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14151
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9872
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24240
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37675
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30610
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5930
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5790
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7083
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7005
121.1 IPS |
