iPhone 17 Pro Max
Geekbench AI Score
9131
Single Precision Score
17065
Half Precision Score
17571
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | GeorgieMcPorgie |
| Upload Date | January 14 2026 09:06 PM |
| Views | 2 |
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% |
4255
791.3 IPS |
|
|
Image Classification (HP)
|
100% |
8044
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7589
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6070
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9531
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10569
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20355
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54064
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59237
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8113
647.2 IPS |
|
|
Face Detection (SP)
|
100% |
11966
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
23176
275.4 IPS |
|
|
Face Detection (Q)
|
100% |
18036
214.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18028
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35698
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39008
304.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43860
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96415
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120388
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10437
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20125
743.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22475
829.9 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6510
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6340
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5034
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6032
104.2 IPS |
