iPhone 17 Pro Max
Geekbench AI Score
5138
Single Precision Score
8346
Half Precision Score
6584
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | jbruce2112 |
| Upload Date | January 03 2026 12:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3782
703.4 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10673
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19230
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15931
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
97% |
4215
335.6 IPS |
|
|
Object Detection (Q)
|
94% |
2785
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
8123
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
4256
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8397
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14132
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9902
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24772
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38068
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31477
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5519
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6412
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9343
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9475
163.7 IPS |
