iPhone 17 Pro Max
Geekbench AI Score
9109
Single Precision Score
16968
Half Precision Score
17606
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | January 25 2026 05:05 PM |
| Views | 5 |
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% |
4295
798.8 IPS |
|
|
Image Classification (HP)
|
100% |
7983
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7527
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6098
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9600
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10565
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20371
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54097
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59350
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8145
649.7 IPS |
|
|
Face Detection (SP)
|
100% |
11813
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
23289
276.7 IPS |
|
|
Face Detection (Q)
|
100% |
18038
214.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18099
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35709
275.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38846
303.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43579
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96486
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120380
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19030
702.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22621
835.3 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6456
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4951
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6051
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6045
104.5 IPS |
