iPhone17,1
Geekbench AI Score
4649
Single Precision Score
32541
Half Precision Score
44386
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MrWuffmann |
| Upload Date | October 05 2024 02:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
15261
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20215
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14725
238.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18240
295.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9524
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154724
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293326
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
16439
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22569
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
41460
492.6 IPS |
|
|
Face Detection (Q)
|
100% |
57729
685.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8093
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95685
737.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160972
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24854
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244533
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301841
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5821
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50680
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85611
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4920
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4410
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9630
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11484
198.5 IPS |
