iPhone 17 Pro Max
Geekbench AI Score
9263
Single Precision Score
17536
Half Precision Score
18950
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RenLee_1914 |
| Upload Date | March 01 2026 05:02 PM |
| Views | 5 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4290
797.8 IPS |
|
|
Image Classification (HP)
|
100% |
8544
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
8836
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6032
97.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9635
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10582
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20180
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53745
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67754
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
4437
351.9 IPS |
|
|
Object Detection (HP)
|
100% |
8842
701.3 IPS |
|
|
Object Detection (Q)
|
94% |
9602
765.6 IPS |
|
|
Face Detection (SP)
|
100% |
12429
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
26048
309.5 IPS |
|
|
Face Detection (Q)
|
100% |
24935
296.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17935
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33488
258.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37886
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44091
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94042
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
121555
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10340
381.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17830
658.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20937
773.1 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6142
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6240
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6033
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7827
134.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6546
113.1 IPS |
