iPhone17,1
Geekbench AI Score
4631
Single Precision Score
29688
Half Precision Score
38278
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:16 PM |
| Views | 1 |
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% |
2034
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
14513
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
19208
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14648
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18343
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9447
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153827
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
212554
249.1 IPS |
|
|
Object Detection (SP)
|
100% |
2181
173.0 IPS |
|
|
Object Detection (HP)
|
100% |
15726
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21808
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
39857
473.6 IPS |
|
|
Face Detection (Q)
|
100% |
53009
629.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93854
723.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
146876
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
24669
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
157340
202.3 IPS |
|
|
Style Transfer (Q)
|
96% |
176068
227.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5876
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49899
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
69568
2.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8782
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10491
181.3 IPS |
