iPhone 17 Pro Max
Geekbench AI Score
5107
Single Precision Score
36406
Half Precision Score
49082
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | January 25 2026 05:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
16069
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21730
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20379
330.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25657
415.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10092
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
158119
184.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293636
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
17307
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25668
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
41190
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
50451
599.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8342
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104932
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160905
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24546
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
256763
330.1 IPS |
|
|
Style Transfer (Q)
|
96% |
352161
454.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5467
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56604
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85500
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6430
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5318
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11210
193.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12287
212.3 IPS |
