iPhone 17 Pro
Geekbench AI Score
5154
Single Precision Score
36434
Half Precision Score
49770
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2355
437.9 IPS |
|
|
Image Classification (HP)
|
100% |
16319
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22310
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20029
324.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25820
418.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10260
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
156321
182.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297604
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
17779
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25090
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4586
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
41231
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
56470
671.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106951
824.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167179
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24817
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259054
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351487
453.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5538
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56442
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84964
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6471
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5243
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10877
187.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11971
206.9 IPS |
