iPhone 17 Pro Max
Geekbench AI Score
5028
Single Precision Score
36051
Half Precision Score
49138
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 05:09 AM |
| Views | 1 |
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% |
2317
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
16542
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21711
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19964
323.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24352
394.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9750
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
150017
175.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
285746
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2542
201.6 IPS |
|
|
Object Detection (HP)
|
100% |
17246
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25617
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
41152
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
54778
650.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8352
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104369
804.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165946
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23863
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257140
330.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351691
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5319
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55253
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84209
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11140
191.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12375
213.9 IPS |
