iPhone 17 Pro Max
Geekbench AI Score
5129
Single Precision Score
8332
Half Precision Score
6604
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 20 2026 03:11 AM |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.7 IPS |
|
|
Image Classification (Q)
|
96% |
2462
459.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10812
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19325
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16478
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
97% |
4160
331.2 IPS |
|
|
Object Detection (Q)
|
94% |
2886
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8537
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4529
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8426
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14223
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10102
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24625
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37730
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31399
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6913
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4997
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5950
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5964
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5312
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9459
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9177
158.6 IPS |
