iPhone 16 Pro Max
Geekbench AI Score
4633
Single Precision Score
32973
Half Precision Score
45365
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Natrep |
| Upload Date | July 05 2025 08:34 AM |
| Views | 16 |
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% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
15269
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19555
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18229
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24098
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9190
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153704
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292915
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
16303
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22649
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
41124
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
57309
681.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8275
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95150
733.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162164
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20685
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246406
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302372
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5470
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50650
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84614
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4411
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4367
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10113
174.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11372
196.5 IPS |
