iPhone 17 Pro Max
Geekbench AI Score
5442
Single Precision Score
38657
Half Precision Score
52544
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | March 19 2026 05:32 PM |
| Views | 8 |
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% |
2359
438.8 IPS |
|
|
Image Classification (HP)
|
100% |
15409
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21578
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20178
327.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26084
422.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9702
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
160803
187.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
297334
348.5 IPS |
|
|
Object Detection (SP)
|
100% |
2805
222.5 IPS |
|
|
Object Detection (HP)
|
100% |
17536
1.39 KIPS |
|
|
Object Detection (Q)
|
89% |
25336
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
5042
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
42172
501.1 IPS |
|
|
Face Detection (Q)
|
100% |
60669
720.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8002
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104681
806.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
172114
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
22998
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
260502
334.9 IPS |
|
|
Style Transfer (Q)
|
96% |
326678
421.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5372
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56700
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84085
3.10 KIPS |
|
|
Text Classification (SP)
|
99% |
6660
8.89 KIPS |
|
|
Text Classification (HP)
|
99% |
11871
15.8 KIPS |
|
|
Text Classification (Q)
|
92% |
10985
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5261
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10983
189.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12008
207.5 IPS |
