iPhone 17 Pro Max
Geekbench AI Score
8988
Single Precision Score
16728
Half Precision Score
17361
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 10:02 AM |
| Views | 7 |
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% |
4236
787.7 IPS |
|
|
Image Classification (HP)
|
100% |
7895
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7412
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6056
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9491
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10534
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20236
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53918
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58770
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8048
642.0 IPS |
|
|
Face Detection (SP)
|
100% |
11770
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
23244
276.2 IPS |
|
|
Face Detection (Q)
|
100% |
18224
216.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17835
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35117
270.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37894
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43760
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
94473
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119292
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10398
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18925
698.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22633
835.7 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6055
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6038
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4851
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5948
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5985
103.4 IPS |
