iPhone17,1
Geekbench AI Score
4491
Single Precision Score
32407
Half Precision Score
44588
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | neysan |
| Upload Date | September 22 2024 09:18 PM |
| Views | 5 |
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 | 4.04 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% |
15478
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20495
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14692
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18310
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8669
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153829
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291990
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
16293
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22755
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41115
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
55593
660.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7682
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94994
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160949
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23324
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246548
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301114
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52451
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85533
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4770
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3809
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9368
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11333
195.8 IPS |
