iPhone17,1
Geekbench AI Score
3844
Single Precision Score
31560
Half Precision Score
42705
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | September 30 2024 11:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1939
360.5 IPS |
|
|
Image Classification (HP)
|
100% |
15673
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21882
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14649
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18049
292.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
128468
149.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
220834
258.8 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
16252
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23381
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
41262
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
56210
667.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6339
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94456
727.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160272
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18204
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
240502
309.2 IPS |
|
|
Style Transfer (Q)
|
96% |
248917
321.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48548
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86821
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3338
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4831
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9442
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10519
181.8 IPS |
