iPhone 17 Pro Max
Geekbench AI Score
5124
Single Precision Score
8346
Half Precision Score
6585
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | GeorgieMcPorgie |
| Upload Date | January 14 2026 09:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.5 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18732
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15929
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.9 IPS |
|
|
Object Detection (HP)
|
97% |
4157
330.9 IPS |
|
|
Object Detection (Q)
|
94% |
2822
225.0 IPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8316
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8464
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14140
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9905
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24855
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38115
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31272
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6894
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6516
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9186
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9353
161.6 IPS |
