iPhone 17 Pro
Geekbench AI Score
5120
Single Precision Score
8262
Half Precision Score
6509
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 09:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
2644
491.7 IPS |
|
|
Image Classification (Q)
|
94% |
1862
348.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8100
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
15582
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13434
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.9 IPS |
|
|
Object Detection (HP)
|
98% |
4245
337.8 IPS |
|
|
Object Detection (Q)
|
88% |
2607
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
4650
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
9677
115.0 IPS |
|
|
Face Detection (Q)
|
100% |
4434
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7625
58.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10924
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7811
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21182
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40174
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31616
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9035
333.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5793
213.9 IPS |
|
|
Text Classification (SP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (HP)
|
99% |
10985
14.7 KIPS |
|
|
Text Classification (Q)
|
93% |
11329
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8516
146.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8489
146.7 IPS |
