iPhone 17 Pro Max
Geekbench AI Score
5232
Single Precision Score
36520
Half Precision Score
49600
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | January 19 2026 03:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
16270
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22428
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20225
327.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25862
419.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10937
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
161012
187.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
298240
349.6 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
17687
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25081
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4705
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
41062
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
58222
691.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105849
815.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
158849
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24601
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259834
334.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351669
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57706
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85103
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6129
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10717
184.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12245
211.6 IPS |
