iPhone 16 Pro Max
Geekbench AI Score
4592
Single Precision Score
33149
Half Precision Score
44384
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:34 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
14107
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
17631
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18132
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23734
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9137
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151802
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290371
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2357
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
15528
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20928
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39840
473.4 IPS |
|
|
Face Detection (Q)
|
100% |
52682
626.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8255
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94325
726.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
151711
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
22089
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244484
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293726
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51606
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79600
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6070
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4068
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9174
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10287
177.8 IPS |
