iPhone 16 Pro Max
Geekbench AI Score
4670
Single Precision Score
33588
Half Precision Score
45399
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 01:32 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
13951
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
18793
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18011
292.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23446
380.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9634
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152125
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290515
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
15570
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21056
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39410
468.3 IPS |
|
|
Face Detection (Q)
|
100% |
52864
628.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8247
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94029
724.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
152031
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
23412
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244710
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
293930
379.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50967
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77297
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
6075
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6025
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4043
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10939
188.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12544
216.8 IPS |
