iPhone 17 Pro Max
Geekbench AI Score
5238
Single Precision Score
36449
Half Precision Score
49299
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | January 27 2026 09:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2353
437.6 IPS |
|
|
Image Classification (HP)
|
100% |
16278
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21331
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20272
328.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25766
417.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11343
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160951
187.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297865
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
17392
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25143
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
40925
486.3 IPS |
|
|
Face Detection (Q)
|
100% |
53663
637.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8441
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104277
803.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166301
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24546
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258905
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
353782
456.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57321
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84402
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6486
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10794
185.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11921
206.0 IPS |
