iPhone 16 Pro Max
Geekbench AI Score
6564
Single Precision Score
7303
Half Precision Score
7212
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RobertRgs |
| Upload Date | March 08 2026 05:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
3131
582.3 IPS |
|
|
Image Classification (HP)
|
100% |
3141
584.2 IPS |
|
|
Image Classification (Q)
|
96% |
3295
615.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4146
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4721
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14543
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17970
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17098
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3278
260.0 IPS |
|
|
Object Detection (HP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (Q)
|
91% |
3592
287.1 IPS |
|
|
Face Detection (SP)
|
100% |
6950
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
10623
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
10223
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12455
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15404
118.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14524
113.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31477
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40360
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37043
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7408
273.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8266
305.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7109
262.5 IPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6179
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1648
28.5 IPS |
