iPhone17,1
Geekbench AI Score
4443
Single Precision Score
32284
Half Precision Score
43555
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | VampirSilphy |
| Upload Date | October 15 2024 06:07 PM |
| Views | 14 |
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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
15759
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
20571
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14699
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18307
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8382
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
153429
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292082
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2092
166.0 IPS |
|
|
Object Detection (HP)
|
100% |
16620
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22542
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41145
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
58285
692.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7535
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94875
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160378
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23080
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
246389
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301465
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5523
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49963
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82942
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4425
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9792
168.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11455
198.0 IPS |
