iPhone17,1
Geekbench AI Score
4602
Single Precision Score
32652
Half Precision Score
44920
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | zxhsean |
| Upload Date | October 30 2024 06:00 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.97 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
15691
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
19829
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23917
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9043
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154168
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293819
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
16050
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21869
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41488
493.0 IPS |
|
|
Face Detection (Q)
|
100% |
56765
674.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94545
728.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
158361
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24920
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244165
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298861
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5890
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49020
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82264
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4574
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4514
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9116
157.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11005
190.2 IPS |
