iPhone 16 Pro Max
Geekbench AI Score
6493
Single Precision Score
8361
Half Precision Score
7675
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:26 AM |
| Views | 3 |
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% |
3113
578.9 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (Q)
|
96% |
3100
578.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4159
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4698
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14840
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17832
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17321
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
3555
282.0 IPS |
|
|
Object Detection (Q)
|
91% |
3569
285.2 IPS |
|
|
Face Detection (SP)
|
100% |
7513
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
11360
135.0 IPS |
|
|
Face Detection (Q)
|
100% |
10421
123.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13251
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15836
122.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14526
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31478
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40047
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39112
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7363
271.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8293
306.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7208
266.2 IPS |
|
|
Text Classification (SP)
|
100% |
6902
9.21 KIPS |
|
|
Text Classification (HP)
|
99% |
10809
14.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10565
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1748
30.2 IPS |
