iPhone 16 Pro Max
Geekbench AI Score
6043
Single Precision Score
7572
Half Precision Score
7594
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 12:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3091
574.8 IPS |
|
|
Image Classification (HP)
|
100% |
2801
520.9 IPS |
|
|
Image Classification (Q)
|
96% |
3274
611.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4888
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4713
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14809
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17773
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17410
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3833
304.0 IPS |
|
|
Object Detection (Q)
|
91% |
3571
285.4 IPS |
|
|
Face Detection (SP)
|
100% |
7496
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
11313
134.4 IPS |
|
|
Face Detection (Q)
|
100% |
10408
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13284
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15960
123.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14373
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31320
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39397
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39291
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8179
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7069
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6222
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2572
44.4 IPS |
