iPhone 17 Pro Max
Geekbench AI Score
9242
Single Precision Score
17401
Half Precision Score
18677
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | February 02 2026 11:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
4200
781.0 IPS |
|
|
Image Classification (HP)
|
100% |
8422
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
8477
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9544
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10445
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20244
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
54003
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67549
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
4416
350.3 IPS |
|
|
Object Detection (HP)
|
100% |
8333
661.0 IPS |
|
|
Object Detection (Q)
|
94% |
9231
736.0 IPS |
|
|
Face Detection (SP)
|
100% |
12010
142.7 IPS |
|
|
Face Detection (HP)
|
100% |
25808
306.7 IPS |
|
|
Face Detection (Q)
|
100% |
24968
296.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17924
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33314
256.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
36433
284.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43987
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96372
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
122684
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10323
381.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17829
658.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21098
779.1 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6543
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6343
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7283
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6265
108.3 IPS |
