iPhone17,1
Geekbench AI Score
4341
Single Precision Score
31934
Half Precision Score
44487
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | September 22 2024 05:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1969
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
15262
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20409
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14657
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18350
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7994
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
146876
171.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290008
339.9 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (HP)
|
100% |
16242
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22336
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
39957
474.8 IPS |
|
|
Face Detection (Q)
|
100% |
55899
664.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7330
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94903
731.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164038
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22653
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244764
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299931
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5199
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49346
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83848
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4880
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9247
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11336
195.9 IPS |
