iPhone 17 Pro Max
Geekbench AI Score
5140
Single Precision Score
8417
Half Precision Score
6586
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | February 13 2026 02:27 AM |
| Views | 5 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.7 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10673
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18805
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15946
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2824
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4410
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14185
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10027
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24533
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38496
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31237
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5566
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7046
260.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6114
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9443
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9459
163.5 IPS |
