iPhone 17 Pro Max
Geekbench AI Score
9321
Single Precision Score
17587
Half Precision Score
19019
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | March 08 2026 07:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
100% |
8656
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8918
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6106
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9664
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10545
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20336
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54042
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67907
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
4461
353.9 IPS |
|
|
Object Detection (HP)
|
100% |
8743
693.5 IPS |
|
|
Object Detection (Q)
|
94% |
9649
769.4 IPS |
|
|
Face Detection (SP)
|
100% |
12438
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
26211
311.4 IPS |
|
|
Face Detection (Q)
|
100% |
25218
299.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18092
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33488
258.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37919
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44283
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96228
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
122382
157.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10397
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17954
663.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21415
790.7 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6077
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6132
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7774
133.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6521
112.7 IPS |
