iPhone 17 Pro
Geekbench AI Score
5221
Single Precision Score
8346
Half Precision Score
6593
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 01:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
2724
506.5 IPS |
|
|
Image Classification (Q)
|
94% |
1864
348.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3455
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8496
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16270
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14011
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
98% |
4123
328.1 IPS |
|
|
Object Detection (Q)
|
88% |
2642
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4843
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
9578
113.8 IPS |
|
|
Face Detection (Q)
|
100% |
4613
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7720
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11179
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7933
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21445
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39762
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31885
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9366
345.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5875
216.9 IPS |
|
|
Text Classification (SP)
|
100% |
6768
9.03 KIPS |
|
|
Text Classification (HP)
|
100% |
11019
14.7 KIPS |
|
|
Text Classification (Q)
|
93% |
10907
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5242
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8785
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8714
150.6 IPS |
