iPhone 17 Pro Max
Geekbench AI Score
4821
Single Precision Score
35379
Half Precision Score
47930
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheUdyngOne |
| Upload Date | January 10 2026 03:51 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2259
420.1 IPS |
|
|
Image Classification (HP)
|
100% |
15919
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
21613
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19571
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23822
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8955
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
146125
170.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
276688
324.3 IPS |
|
|
Object Detection (SP)
|
100% |
2382
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
17294
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
23265
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4131
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
40444
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
54144
643.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103642
798.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165903
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23155
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
257581
331.1 IPS |
|
|
Style Transfer (Q)
|
96% |
349727
451.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54746
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83770
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
6164
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6193
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4835
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10710
184.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11847
204.7 IPS |
