iPhone 17 Pro
Geekbench AI Score
5056
Single Precision Score
36194
Half Precision Score
48409
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 05:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2302
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
16226
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
20929
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20186
327.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25635
415.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10196
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
159639
186.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297384
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
17239
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24871
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
41195
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
49893
592.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105528
813.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164080
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24251
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259618
333.7 IPS |
|
|
Style Transfer (Q)
|
96% |
352164
454.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57940
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85057
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5991
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10928
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11956
206.6 IPS |
