iPhone17,1
Geekbench AI Score
4620
Single Precision Score
33230
Half Precision Score
46181
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | huebs |
| Upload Date | October 31 2024 07:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
15206
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19957
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18291
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24020
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9132
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153786
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294514
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
16203
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22481
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3614
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41494
493.0 IPS |
|
|
Face Detection (Q)
|
100% |
58256
692.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8048
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95909
738.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164253
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24948
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245265
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302477
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5951
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51414
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84314
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4956
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4948
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9526
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11513
199.0 IPS |
