iPhone 17 Pro Max
Geekbench AI Score
9105
Single Precision Score
16986
Half Precision Score
17566
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 27 2026 03:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
4284
796.6 IPS |
|
|
Image Classification (HP)
|
100% |
8214
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7454
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6139
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9634
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10617
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20495
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54264
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60059
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
4435
351.8 IPS |
|
|
Object Detection (HP)
|
100% |
8181
648.9 IPS |
|
|
Object Detection (Q)
|
93% |
8112
647.2 IPS |
|
|
Face Detection (SP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23365
277.6 IPS |
|
|
Face Detection (Q)
|
100% |
18244
216.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18161
139.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35627
274.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
39523
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44367
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96232
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120773
155.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10498
387.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19272
711.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22585
833.9 IPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6096
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4920
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6052
104.6 IPS |
