iPhone 17 Pro Max
Geekbench AI Score
9146
Single Precision Score
16993
Half Precision Score
17514
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 12:05 AM |
| Views | 4 |
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% |
4292
798.2 IPS |
|
|
Image Classification (HP)
|
100% |
8058
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7549
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9599
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10647
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20419
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54365
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59561
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4409
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
8173
648.3 IPS |
|
|
Object Detection (Q)
|
93% |
8150
650.2 IPS |
|
|
Face Detection (SP)
|
100% |
11989
142.5 IPS |
|
|
Face Detection (HP)
|
100% |
23276
276.6 IPS |
|
|
Face Detection (Q)
|
100% |
18119
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18115
139.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35694
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39341
307.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43971
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95957
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
121156
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19179
708.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22611
834.9 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6367
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4940
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6003
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5988
103.5 IPS |
