iPhone 16 Pro Max
Geekbench AI Score
4568
Single Precision Score
33519
Half Precision Score
46336
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 27 2025 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
15251
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20794
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18300
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23834
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8611
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148762
173.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291443
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
16667
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22374
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
40954
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
58378
693.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95980
739.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160307
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20604
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245745
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304626
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52876
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84869
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5008
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4059
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10116
174.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11387
196.8 IPS |
