iPhone 16 Pro Max
Geekbench AI Score
4426
Single Precision Score
32770
Half Precision Score
45862
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 07:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
15156
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20425
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18281
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24080
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8370
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
148929
173.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293170
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
100% |
16314
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22598
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
41706
495.6 IPS |
|
|
Face Detection (Q)
|
100% |
58774
698.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7573
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95184
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161102
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23028
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245304
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300889
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5451
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49970
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84185
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4588
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4649
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9504
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11332
195.8 IPS |
