iPhone 17 Pro Max
Geekbench AI Score
5400
Single Precision Score
8588
Half Precision Score
6810
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 15 2026 04:27 PM |
| Views | 2 |
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% |
2398
446.0 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.2 IPS |
|
|
Image Classification (Q)
|
94% |
1954
365.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3512
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8981
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17015
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14469
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (HP)
|
98% |
4319
343.7 IPS |
|
|
Object Detection (Q)
|
88% |
2737
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4839
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
9824
116.7 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8048
62.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11514
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8234
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22798
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42620
54.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34166
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9897
365.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6195
228.8 IPS |
|
|
Text Classification (SP)
|
99% |
6548
8.74 KIPS |
|
|
Text Classification (HP)
|
99% |
11071
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
11045
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5321
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8632
148.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8656
149.6 IPS |
