iPhone 17 Pro Max
Geekbench AI Score
5165
Single Precision Score
36371
Half Precision Score
49146
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | January 16 2026 12:10 PM |
| Views | 8 |
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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
16421
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22163
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19799
321.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25335
410.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10592
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159099
185.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
297630
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18277
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25004
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41801
496.7 IPS |
|
|
Face Detection (Q)
|
100% |
52644
625.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104596
805.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168772
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25090
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259286
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352590
455.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5518
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56768
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87973
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6082
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6019
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5357
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10949
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11861
205.0 IPS |
