iPhone 17 Pro Max
Geekbench AI Score
5159
Single Precision Score
8266
Half Precision Score
6584
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 15 2026 12:47 AM |
| Views | 1 |
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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
3670
682.5 IPS |
|
|
Image Classification (Q)
|
96% |
2475
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3406
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10686
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19040
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16038
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
97% |
4151
330.5 IPS |
|
|
Object Detection (Q)
|
94% |
2837
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8459
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4396
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14082
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9888
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24590
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37320
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31275
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5533
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6804
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4918
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5317
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9282
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9312
160.9 IPS |
