iPhone 17 Pro Max
Geekbench AI Score
5191
Single Precision Score
8473
Half Precision Score
6646
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | January 16 2026 12:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
3721
691.9 IPS |
|
|
Image Classification (Q)
|
96% |
2458
459.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10710
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19485
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16687
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (HP)
|
97% |
4122
328.1 IPS |
|
|
Object Detection (Q)
|
94% |
2903
231.4 IPS |
|
|
Face Detection (SP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8582
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4521
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8666
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14397
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10273
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25352
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39498
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32269
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6243
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5906
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5258
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9579
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9392
162.3 IPS |
