iPhone 17 Pro
Geekbench AI Score
5067
Single Precision Score
8193
Half Precision Score
6449
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3584
666.5 IPS |
|
|
Image Classification (Q)
|
96% |
2432
454.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10326
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18312
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15407
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
4075
324.4 IPS |
|
|
Object Detection (Q)
|
94% |
2793
222.7 IPS |
|
|
Face Detection (SP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8397
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4273
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8234
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13901
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9703
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23684
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36493
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30133
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6364
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5336
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9316
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9249
159.8 IPS |
