iPhone 17 Pro Max
Geekbench AI Score
5408
Single Precision Score
38545
Half Precision Score
52842
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | March 18 2026 09:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2363
439.5 IPS |
|
|
Image Classification (HP)
|
100% |
16023
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
22518
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19971
323.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25852
419.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8997
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159566
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
296325
347.3 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
17482
1.39 KIPS |
|
|
Object Detection (Q)
|
89% |
25473
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4967
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
43508
517.0 IPS |
|
|
Face Detection (Q)
|
100% |
61212
727.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7978
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106848
823.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171138
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
22894
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
260891
335.4 IPS |
|
|
Style Transfer (Q)
|
96% |
324184
418.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55914
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88725
3.28 KIPS |
|
|
Text Classification (SP)
|
99% |
6686
8.92 KIPS |
|
|
Text Classification (HP)
|
99% |
11007
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10712
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10865
187.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11969
206.8 IPS |
