iPhone 17 Pro Max
Geekbench AI Score
9032
Single Precision Score
16690
Half Precision Score
17342
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 05:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
4230
786.6 IPS |
|
|
Image Classification (HP)
|
100% |
7939
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7512
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5975
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9423
152.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10464
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20077
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53270
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57885
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
4390
348.2 IPS |
|
|
Object Detection (HP)
|
100% |
8133
645.1 IPS |
|
|
Object Detection (Q)
|
93% |
8027
640.4 IPS |
|
|
Face Detection (SP)
|
100% |
11752
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23115
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17967
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17846
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35355
272.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37923
296.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43400
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
93588
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118168
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18038
666.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22290
823.1 IPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6418
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6444
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4818
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5846
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5825
100.7 IPS |
