iPhone 16 Pro Max
Geekbench AI Score
6505
Single Precision Score
8043
Half Precision Score
7956
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3126
581.4 IPS |
|
|
Image Classification (HP)
|
100% |
2774
515.9 IPS |
|
|
Image Classification (Q)
|
96% |
3247
606.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4250
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4718
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14845
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17801
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17273
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3226
255.9 IPS |
|
|
Object Detection (HP)
|
100% |
3701
293.6 IPS |
|
|
Object Detection (Q)
|
91% |
3468
277.1 IPS |
|
|
Face Detection (SP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
11219
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
10412
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13316
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15885
122.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14630
114.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31323
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39473
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39146
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8111
299.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6974
257.5 IPS |
|
|
Text Classification (SP)
|
99% |
7078
9.45 KIPS |
|
|
Text Classification (HP)
|
100% |
10358
13.8 KIPS |
|
|
Text Classification (Q)
|
93% |
10319
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2581
44.6 IPS |
