iPhone17,1
Geekbench AI Score
4595
Single Precision Score
33397
Half Precision Score
46159
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:50 PM |
| Views | 1 |
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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
15122
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20295
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18330
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23902
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8956
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154472
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293981
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
16394
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22329
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
41221
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57290
680.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8024
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95357
734.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160739
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24660
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
246062
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299882
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52533
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87439
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4985
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5003
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3783
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9711
167.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11415
197.3 IPS |
