iPhone17,1
Geekbench AI Score
4376
Single Precision Score
32236
Half Precision Score
44829
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | furunos |
| Upload Date | September 29 2024 01:21 PM |
| Views | 13 |
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% |
1964
365.2 IPS |
|
|
Image Classification (HP)
|
100% |
15241
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21082
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14751
239.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18374
297.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8108
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
147215
171.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291832
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (HP)
|
100% |
16226
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22542
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
41222
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
54945
652.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7375
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95139
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160952
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22406
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245487
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301143
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49970
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84286
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5016
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9751
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11426
197.5 IPS |
