iPhone 17 Pro
Geekbench AI Score
5076
Single Precision Score
38115
Half Precision Score
52654
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 17 2026 04:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2225
413.7 IPS |
|
|
Image Classification (HP)
|
100% |
15975
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
22269
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19993
324.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24255
393.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
145866
170.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
281243
329.6 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
17594
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
25398
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
42949
510.3 IPS |
|
|
Face Detection (Q)
|
100% |
59983
712.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7606
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
102492
789.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175747
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
21068
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
255511
328.5 IPS |
|
|
Style Transfer (Q)
|
96% |
327258
422.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54897
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85102
3.14 KIPS |
|
|
Text Classification (SP)
|
99% |
6739
8.99 KIPS |
|
|
Text Classification (HP)
|
99% |
11352
15.2 KIPS |
|
|
Text Classification (Q)
|
93% |
11725
15.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11263
194.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12334
213.2 IPS |
