iPhone 16 Pro Max
Geekbench AI Score
4414
Single Precision Score
32619
Half Precision Score
45313
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | February 16 2025 03:04 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
15209
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19958
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18298
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24147
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8180
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
147990
172.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292564
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2112
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
16295
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22617
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58566
695.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7595
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94991
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160067
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22729
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245502
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301735
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50231
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82734
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4407
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4328
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9555
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11300
195.3 IPS |
