iPhone 17 Pro Max
Geekbench AI Score
5156
Single Precision Score
8319
Half Precision Score
6539
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 10:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2321
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.2 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10560
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18918
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16495
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
97% |
4139
329.5 IPS |
|
|
Object Detection (Q)
|
94% |
2871
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8462
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4499
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8145
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14047
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10022
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23970
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37307
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30839
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5574
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6974
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
6274
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6007
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9334
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8731
150.9 IPS |
