iPhone 17 Pro Max
Geekbench AI Score
9107
Single Precision Score
17296
Half Precision Score
17785
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4323
804.0 IPS |
|
|
Image Classification (HP)
|
100% |
8573
1.59 KIPS |
|
|
Image Classification (Q)
|
97% |
7805
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6047
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9618
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10648
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20136
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53759
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58088
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4431
351.5 IPS |
|
|
Object Detection (HP)
|
100% |
8624
684.0 IPS |
|
|
Object Detection (Q)
|
92% |
8465
676.0 IPS |
|
|
Face Detection (SP)
|
100% |
12367
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
26228
311.6 IPS |
|
|
Face Detection (Q)
|
100% |
19652
233.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17969
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35706
275.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38890
303.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43746
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95077
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119169
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18081
667.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22019
813.0 IPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6447
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4796
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6046
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5993
103.6 IPS |
