iPhone 17 Pro Max
Geekbench AI Score
5344
Single Precision Score
8517
Half Precision Score
6714
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | omerakgoz34 |
| Upload Date | March 25 2026 08:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2371
440.9 IPS |
|
|
Image Classification (HP)
|
100% |
2662
495.1 IPS |
|
|
Image Classification (Q)
|
94% |
1865
348.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8957
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16721
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14223
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (HP)
|
98% |
4235
337.0 IPS |
|
|
Object Detection (Q)
|
88% |
2664
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
9858
117.1 IPS |
|
|
Face Detection (Q)
|
100% |
4822
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7947
61.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11519
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8166
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21966
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40985
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33282
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9751
360.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6043
223.1 IPS |
|
|
Text Classification (SP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (HP)
|
99% |
11461
15.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10678
14.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5288
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8593
148.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8780
151.7 IPS |
