iPhone 17 Pro Max
Geekbench AI Score
5181
Single Precision Score
8456
Half Precision Score
6726
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 12:02 AM |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3753
697.9 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3046
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10854
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20059
23.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16884
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
97% |
4238
337.4 IPS |
|
|
Object Detection (Q)
|
94% |
2923
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8401
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4541
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14459
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10270
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25040
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39216
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32393
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7174
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5113
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6099
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9231
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9409
162.6 IPS |
