iPhone17,1
Geekbench AI Score
4692
Single Precision Score
31670
Half Precision Score
44004
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:27 PM |
| Views | 1 |
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
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20711
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14684
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18261
296.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9832
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154965
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293628
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
16202
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22231
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
40888
485.8 IPS |
|
|
Face Detection (Q)
|
100% |
57076
678.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8216
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95485
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160975
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25037
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246431
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301065
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50717
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84620
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9149
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11116
192.1 IPS |
