iPhone17,1
Geekbench AI Score
4425
Single Precision Score
32337
Half Precision Score
44898
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:30 AM |
| Views | 10 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
15622
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21576
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14703
238.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18260
296.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8261
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
150279
175.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292118
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
100% |
16410
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23265
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
41169
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
55552
660.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7530
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95768
737.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160738
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23120
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245337
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302727
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50210
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84196
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4713
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9643
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11449
197.9 IPS |
