iPhone 17 Pro Max
Geekbench AI Score
9020
Single Precision Score
16857
Half Precision Score
17415
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 04:29 AM |
| 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% |
4201
781.2 IPS |
|
|
Image Classification (HP)
|
100% |
8116
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7553
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5998
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9480
153.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10471
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20104
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53438
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58081
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4380
347.4 IPS |
|
|
Object Detection (HP)
|
100% |
8064
639.7 IPS |
|
|
Object Detection (Q)
|
93% |
8054
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11634
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
23110
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17845
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35319
272.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38074
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43119
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95307
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119096
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18548
684.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22206
820.0 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4845
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5997
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5972
103.2 IPS |
