iPhone 17 Pro
Geekbench AI Score
4956
Single Precision Score
36225
Half Precision Score
49899
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 09:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2266
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
16422
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22586
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19683
319.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24952
404.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9517
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147617
172.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
282734
331.4 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
17992
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25031
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
41170
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
58360
693.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103313
796.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
172912
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23460
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
252543
324.6 IPS |
|
|
Style Transfer (Q)
|
96% |
347814
448.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5307
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57469
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87284
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6456
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6286
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11374
195.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12461
215.3 IPS |
