iPhone 17 Pro Max
Geekbench AI Score
5118
Single Precision Score
8312
Half Precision Score
6569
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | January 06 2026 01:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2331
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10631
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18954
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16311
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
97% |
4179
332.7 IPS |
|
|
Object Detection (Q)
|
94% |
2880
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4417
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8400
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14274
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10110
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24604
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37516
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31123
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5477
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6928
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5980
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6044
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9494
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9200
159.0 IPS |
