iPhone 17 Pro Max
Geekbench AI Score
4962
Single Precision Score
8127
Half Precision Score
6391
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 04:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.3 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10107
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18313
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15472
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
4031
320.9 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4260
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
8127
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
4058
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13559
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9543
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23242
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37027
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29473
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5218
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4850
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6365
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6437
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5071
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8602
148.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9114
157.5 IPS |
