iPhone17,1
Geekbench AI Score
4509
Single Precision Score
32059
Half Precision Score
44352
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
15454
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20450
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14691
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18398
298.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8650
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153973
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292237
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2124
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
16387
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22670
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41972
498.7 IPS |
|
|
Face Detection (Q)
|
100% |
57396
682.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7731
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95185
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161290
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23584
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246357
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301268
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5616
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50164
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85199
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4357
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9401
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11414
197.3 IPS |
