iPhone 16 Pro Max
Geekbench AI Score
4516
Single Precision Score
33027
Half Precision Score
45868
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 01:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
15250
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20661
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24094
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8686
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
149357
174.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291266
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
16341
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22348
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
41107
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
58351
693.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8040
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95408
735.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162532
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
19023
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244882
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304079
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51849
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84505
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4801
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10022
172.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10873
187.9 IPS |
