iPhone 17 Pro Max
Geekbench AI Score
5158
Single Precision Score
36265
Half Precision Score
48605
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
16203
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21388
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19838
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25235
409.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10693
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160611
187.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
298691
350.1 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
17325
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25095
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
41170
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
51175
608.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8554
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107142
825.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168113
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25137
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259210
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352629
455.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58680
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84958
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5982
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10881
187.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11800
203.9 IPS |
