iPhone 17 Pro Max
Geekbench AI Score
9335
Single Precision Score
17599
Half Precision Score
19010
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 15 2026 12:50 AM |
| Views | 1 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4341
807.2 IPS |
|
|
Image Classification (HP)
|
100% |
8614
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
8831
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6042
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9573
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10478
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20256
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53671
62.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67936
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
4412
350.0 IPS |
|
|
Object Detection (HP)
|
100% |
8591
681.5 IPS |
|
|
Object Detection (Q)
|
94% |
9626
767.5 IPS |
|
|
Face Detection (SP)
|
100% |
12112
143.9 IPS |
|
|
Face Detection (HP)
|
100% |
25958
308.4 IPS |
|
|
Face Detection (Q)
|
100% |
25178
299.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17970
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33398
257.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37718
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44083
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95753
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
122282
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18038
666.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21578
796.8 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6527
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6318
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6089
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7672
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6436
111.2 IPS |
