iPhone 17 Pro Max
Geekbench AI Score
4997
Single Precision Score
8281
Half Precision Score
6446
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | lksptz |
| Upload Date | January 04 2026 09:09 PM |
| Views | 10 |
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% |
2280
424.0 IPS |
|
|
Image Classification (HP)
|
100% |
3623
673.7 IPS |
|
|
Image Classification (Q)
|
96% |
2379
444.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9487
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18100
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15249
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
4109
327.1 IPS |
|
|
Object Detection (Q)
|
94% |
2741
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
8283
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
4232
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8350
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13975
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9796
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23930
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37531
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30725
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5335
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6500
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5222
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9408
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9381
162.1 IPS |
