iPhone 16 Pro Max
Geekbench AI Score
4441
Single Precision Score
32961
Half Precision Score
45791
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
15201
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20489
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18198
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24219
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8355
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
151447
176.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292798
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
16227
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22463
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
41188
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
59050
701.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7509
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94970
731.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161007
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22941
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245396
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302238
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49889
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82903
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4828
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4552
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9631
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11453
197.9 IPS |
