iPhone 17 Pro Max
Geekbench AI Score
5157
Single Precision Score
8364
Half Precision Score
6608
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | February 06 2026 12:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3060
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3412
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10622
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18913
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16246
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
97% |
4154
330.7 IPS |
|
|
Object Detection (Q)
|
94% |
2817
224.5 IPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8446
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14222
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10051
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24700
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37519
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31050
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5403
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6874
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6506
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6493
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5286
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9391
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9300
160.7 IPS |
