iPhone 17
Geekbench AI Score
8367
Single Precision Score
16098
Half Precision Score
16736
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Aymangh87 |
| Upload Date | March 18 2026 10:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3757
698.8 IPS |
|
|
Image Classification (HP)
|
100% |
6027
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
6197
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5083
82.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8816
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9061
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18093
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49789
58.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65197
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
4020
318.8 IPS |
|
|
Object Detection (HP)
|
100% |
7814
619.8 IPS |
|
|
Object Detection (Q)
|
93% |
8028
640.3 IPS |
|
|
Face Detection (SP)
|
100% |
9742
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
20611
244.9 IPS |
|
|
Face Detection (Q)
|
100% |
20114
239.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15889
122.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32897
253.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35279
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39186
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
89736
115.4 IPS |
|
|
Style Transfer (Q)
|
96% |
110436
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9138
337.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18066
667.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18606
687.0 IPS |
|
|
Text Classification (SP)
|
100% |
5466
7.30 KIPS |
|
|
Text Classification (HP)
|
99% |
9160
12.2 KIPS |
|
|
Text Classification (Q)
|
92% |
9087
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3997
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5617
96.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
