iPhone17,1
Geekbench AI Score
4254
Single Precision Score
32132
Half Precision Score
44456
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SoylentGreen |
| Upload Date | October 11 2024 08:10 PM |
| Views | 6 |
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% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
15519
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20602
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14675
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18346
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7904
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
142786
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291442
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
16397
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22850
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
41915
498.0 IPS |
|
|
Face Detection (Q)
|
100% |
57749
686.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7079
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94910
731.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162094
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21262
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244222
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301333
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50227
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81242
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4769
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9342
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10963
189.5 IPS |
