iPhone 17 Pro Max
Geekbench AI Score
4938
Single Precision Score
8053
Half Precision Score
6346
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 12:20 PM |
| Views | 2 |
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% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
3657
680.1 IPS |
|
|
Image Classification (Q)
|
96% |
2424
452.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9349
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17621
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14996
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.6 IPS |
|
|
Object Detection (HP)
|
97% |
3964
315.6 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7936
94.3 IPS |
|
|
Face Detection (Q)
|
100% |
4118
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8135
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13480
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9653
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23627
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37128
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30232
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9219
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9316
161.0 IPS |
