iPhone17,1
Geekbench AI Score
4491
Single Precision Score
32040
Half Precision Score
42955
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | October 08 2024 05:49 PM |
| Views | 5 |
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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
15309
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20160
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14717
238.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18282
296.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8610
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153740
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291830
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
16307
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22449
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41322
491.0 IPS |
|
|
Face Detection (Q)
|
100% |
59182
703.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7712
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95094
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162604
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23569
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
247017
317.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299662
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5430
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49735
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84515
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4480
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3207
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9335
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11333
195.8 IPS |
