iPhone 16 Pro Max
Geekbench AI Score
4625
Single Precision Score
33145
Half Precision Score
44482
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
14004
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
18620
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18121
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23631
383.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
151481
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
290558
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
15564
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20879
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
40177
477.4 IPS |
|
|
Face Detection (Q)
|
100% |
52516
624.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8227
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95439
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
146572
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
22111
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244418
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294407
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50697
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80021
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6186
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6097
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4075
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9102
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10277
177.6 IPS |
