iPhone 17 Pro
Geekbench AI Score
5020
Single Precision Score
8157
Half Precision Score
6425
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 09:56 AM |
| Views | 5 |
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% |
2276
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
3572
664.3 IPS |
|
|
Image Classification (Q)
|
96% |
2423
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18027
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15535
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.8 IPS |
|
|
Object Detection (HP)
|
97% |
3977
316.6 IPS |
|
|
Object Detection (Q)
|
94% |
2724
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4388
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
8180
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4213
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8134
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13845
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9623
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23664
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35925
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29726
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5350
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6810
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4829
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6317
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9629
166.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9296
160.6 IPS |
