iPhone 17 Pro Max
Geekbench AI Score
5098
Single Precision Score
8381
Half Precision Score
6621
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | lksptz |
| Upload Date | January 04 2026 09:15 PM |
| Views | 8 |
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% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3453
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10179
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19047
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16315
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.5 IPS |
|
|
Object Detection (Q)
|
94% |
2836
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4402
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14169
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10020
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24317
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37353
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30956
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5391
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6356
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9472
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9442
163.2 IPS |
