iPhone 17 Pro Max
Geekbench AI Score
5143
Single Precision Score
36491
Half Precision Score
50213
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
16626
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22142
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20069
325.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26028
421.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10508
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
160242
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
297348
348.5 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
17534
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25102
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
41164
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
60430
718.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104824
807.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167317
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24296
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259503
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351993
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5504
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57406
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87215
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6373
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5590
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10822
186.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11977
207.0 IPS |
