iPhone 17 Pro Max
Geekbench AI Score
4957
Single Precision Score
8164
Half Precision Score
6411
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Moutes |
| Upload Date | March 04 2026 03:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
3647
678.2 IPS |
|
|
Image Classification (Q)
|
96% |
2424
452.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9795
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17762
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15296
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
97% |
4041
321.7 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
8166
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4161
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8236
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13706
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9670
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23740
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36525
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30253
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4864
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6367
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4995
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9198
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9202
159.0 IPS |
