iPhone 17 Pro Max
Geekbench AI Score
5127
Single Precision Score
8358
Half Precision Score
6595
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | January 25 2026 05:02 PM |
| Views | 9 |
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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.1 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10609
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19169
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16376
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.5 IPS |
|
|
Object Detection (HP)
|
97% |
4169
331.9 IPS |
|
|
Object Detection (Q)
|
94% |
2853
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4366
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8553
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14277
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10039
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24513
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38731
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31583
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5930
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6158
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5274
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9429
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9149
158.1 IPS |
