iPhone17,1
Geekbench AI Score
4580
Single Precision Score
32408
Half Precision Score
44793
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LKJ7tud10 |
| Upload Date | October 18 2024 02:19 PM |
| Views | 12 |
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% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
15126
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20274
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14707
238.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18233
295.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9047
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154104
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292594
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
16179
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22308
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41227
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
56958
676.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7819
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95648
736.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166203
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24364
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246461
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301339
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50822
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85974
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4819
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9597
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11404
197.1 IPS |
