iPhone 17 Pro Max
Geekbench AI Score
4817
Single Precision Score
7907
Half Precision Score
6158
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 31 2026 06:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
3624
673.9 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3182
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8826
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16514
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14039
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2451
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7583
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
3958
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8090
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13374
103.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9461
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23233
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36775
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29598
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5373
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6752
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6440
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8963
154.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9043
156.3 IPS |
