iPhone 17 Pro Max
Geekbench AI Score
4968
Single Precision Score
35510
Half Precision Score
48431
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 12:15 PM |
| Views | 1 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
15788
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21674
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20173
327.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25670
416.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9346
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
147479
172.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
280824
329.1 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
17276
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24135
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
40800
484.8 IPS |
|
|
Face Detection (Q)
|
100% |
54297
645.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8261
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103970
801.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164854
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23577
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
250796
322.4 IPS |
|
|
Style Transfer (Q)
|
96% |
346778
447.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55409
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83995
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6147
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10842
186.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11673
201.7 IPS |
