iPhone 16 Pro Max
Geekbench AI Score
4564
Single Precision Score
33034
Half Precision Score
45754
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:07 PM |
| 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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
15034
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20238
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18285
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24112
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8968
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154050
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293670
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
16214
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22267
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
41232
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
58149
690.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7880
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94971
731.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160023
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24087
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245170
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302814
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5699
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50787
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82957
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9651
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11321
195.6 IPS |
