iPhone 17 Pro Max
Geekbench AI Score
5101
Single Precision Score
8321
Half Precision Score
6554
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 05:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2330
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.4 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10362
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18590
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15941
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
97% |
4150
330.3 IPS |
|
|
Object Detection (Q)
|
94% |
2795
222.8 IPS |
|
|
Face Detection (SP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8376
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4304
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8367
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13955
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9804
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24401
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37676
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30920
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5387
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4913
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6395
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9246
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9376
162.0 IPS |
