iPhone 17 Pro Max
Geekbench AI Score
9186
Single Precision Score
17096
Half Precision Score
17714
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 10:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4354
809.6 IPS |
|
|
Image Classification (HP)
|
100% |
8085
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7651
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6167
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9733
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10693
173.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20501
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54690
63.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60075
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
4421
350.7 IPS |
|
|
Object Detection (HP)
|
100% |
8176
648.5 IPS |
|
|
Object Detection (Q)
|
93% |
8141
649.4 IPS |
|
|
Face Detection (SP)
|
100% |
11975
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23542
279.7 IPS |
|
|
Face Detection (Q)
|
100% |
18237
216.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18223
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35656
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39452
308.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44024
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96798
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
121411
156.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10483
387.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19269
711.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22640
836.0 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6314
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4979
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6059
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6089
105.2 IPS |
