iPhone17,1
Geekbench AI Score
4579
Single Precision Score
33054
Half Precision Score
46420
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:13 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15318
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20046
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18340
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24191
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9015
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154459
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293546
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
16373
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22869
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
41261
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
57127
678.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7899
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95300
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161597
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24006
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245339
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302068
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5681
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50742
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84920
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9463
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11334
195.9 IPS |
