iPhone 16 Pro Max
Geekbench AI Score
4443
Single Precision Score
32755
Half Precision Score
44544
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 02:23 AM |
| Views | 2 |
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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
14017
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
18451
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18119
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23693
384.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8384
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
145027
169.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
287852
337.4 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
15381
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21048
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39528
469.7 IPS |
|
|
Face Detection (Q)
|
100% |
53298
633.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7857
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93932
723.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
152067
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20619
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244347
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
293733
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5224
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49327
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77976
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6125
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6065
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9157
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10314
178.2 IPS |
