iPhone 17 Pro Max
Geekbench AI Score
2571
Single Precision Score
20576
Half Precision Score
27918
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 24 2026 04:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1069
198.8 IPS |
|
|
Image Classification (HP)
|
100% |
9294
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
13460
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10954
177.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13834
224.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
83700
97.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
156216
183.1 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
100% |
12338
978.7 IPS |
|
|
Object Detection (Q)
|
91% |
14301
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
21617
256.9 IPS |
|
|
Face Detection (Q)
|
100% |
29501
350.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3853
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
60648
467.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
112949
883.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11008
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
149752
192.5 IPS |
|
|
Style Transfer (Q)
|
96% |
202265
261.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3221
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32155
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48798
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3742
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5477
94.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5680
98.2 IPS |
