iPhone 17 Pro Max
Geekbench AI Score
5080
Single Precision Score
8308
Half Precision Score
6547
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheUdyngOne |
| Upload Date | February 12 2026 03:31 AM |
| Views | 9 |
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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.2 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10146
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19047
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15559
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
4143
329.8 IPS |
|
|
Object Detection (Q)
|
94% |
2844
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8474
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4370
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14127
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10045
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24603
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37711
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31306
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5038
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6161
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5980
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9232
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9344
161.5 IPS |
