iPhone 17 Pro Max
Geekbench AI Score
4952
Single Precision Score
8120
Half Precision Score
6330
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dcjm |
| Upload Date | March 05 2026 08:16 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
96% |
2434
454.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3072
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3112
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9323
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17362
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14709
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2395
189.9 IPS |
|
|
Object Detection (HP)
|
97% |
3648
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
8049
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8193
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13727
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9558
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23779
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37702
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30492
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4920
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6451
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6395
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9370
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9559
165.2 IPS |
