iPhone 16 Pro Max
Geekbench AI Score
6102
Single Precision Score
7581
Half Precision Score
7570
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:50 AM |
| 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% |
3135
583.0 IPS |
|
|
Image Classification (HP)
|
100% |
3006
559.0 IPS |
|
|
Image Classification (Q)
|
96% |
3245
605.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4722
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14769
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17843
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17295
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3151
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
3521
279.3 IPS |
|
|
Object Detection (Q)
|
91% |
3702
295.8 IPS |
|
|
Face Detection (SP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
11101
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
10377
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13242
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15902
122.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14288
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31469
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39871
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39181
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7518
277.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8151
301.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7149
264.0 IPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6322
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2493
43.1 IPS |
