iPhone 17 Pro Max
Geekbench AI Score
5249
Single Precision Score
35931
Half Precision Score
49147
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | DPOUND |
| Upload Date | February 08 2026 02:00 AM |
| Views | 13 |
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% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
16393
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21758
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20115
326.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25398
411.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10939
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160415
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
299482
351.0 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
17267
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24854
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
41026
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
55819
663.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8681
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104153
802.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
165162
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25703
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259067
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350962
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56814
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84354
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3322
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5789
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5257
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10786
185.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12045
208.2 IPS |
