iPhone 16 Pro Max
Geekbench AI Score
4353
Single Precision Score
33186
Half Precision Score
45993
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gastaro |
| Upload Date | June 30 2025 01:10 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15401
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21072
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18300
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24094
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7922
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
141458
165.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291114
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
16379
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22620
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
41507
493.2 IPS |
|
|
Face Detection (Q)
|
100% |
58489
695.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7643
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94890
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160869
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
18222
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245421
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
307567
396.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4903
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50635
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84719
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4944
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4597
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4164
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10255
176.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11243
194.3 IPS |
