iPhone 17 Pro Max
Geekbench AI Score
5025
Single Precision Score
35990
Half Precision Score
49327
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheUdyngOne |
| Upload Date | February 12 2026 03:36 AM |
| Views | 11 |
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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
16370
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22318
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20140
326.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24955
404.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9464
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
149328
174.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
286032
335.2 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
17404
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24980
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
41063
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
54029
642.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104545
805.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165156
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24151
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
255678
328.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350160
451.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5425
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55756
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85498
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6281
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6393
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11073
190.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12549
216.9 IPS |
