iPhone 17 Pro Max
Geekbench AI Score
5147
Single Precision Score
8326
Half Precision Score
6584
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:17 PM |
| Views | 5 |
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% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
3699
688.0 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10869
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19309
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16548
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4161
331.2 IPS |
|
|
Object Detection (Q)
|
94% |
2864
228.3 IPS |
|
|
Face Detection (SP)
|
100% |
4685
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8432
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4475
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8368
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14212
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10068
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24462
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37442
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31202
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5518
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9512
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9378
162.1 IPS |
