iPhone17,1
Geekbench AI Score
4447
Single Precision Score
30419
Half Precision Score
43036
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gokulganesan |
| Upload Date | September 25 2024 01:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
15632
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21558
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14710
238.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18433
298.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8372
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
150668
175.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292256
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
16415
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23200
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
55356
657.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7506
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95538
736.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162643
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22805
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244931
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303851
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50321
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86897
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2916
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9456
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11669
201.6 IPS |
