iPhone 16 Pro Max
Geekbench AI Score
4604
Single Precision Score
35001
Half Precision Score
48006
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
14113
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
18920
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18146
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24106
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7036
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
150865
176.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
288288
337.9 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
15630
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
21497
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
41016
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
61365
729.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7376
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93861
723.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
153880
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20005
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245977
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294837
380.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4581
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50853
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76251
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
6913
9.23 KIPS |
|
|
Text Classification (HP)
|
99% |
10498
14.0 KIPS |
|
|
Text Classification (Q)
|
93% |
10749
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
3993
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9041
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10080
174.2 IPS |
