iPhone17,1
Geekbench AI Score
4045
Single Precision Score
32337
Half Precision Score
45293
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:23 PM |
| Views | 1 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1817
337.8 IPS |
|
|
Image Classification (HP)
|
100% |
15419
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20518
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18153
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24028
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8020
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
145260
169.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
286464
335.8 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
16084
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22397
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
40855
485.4 IPS |
|
|
Face Detection (Q)
|
100% |
57533
683.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6993
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94876
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162466
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21631
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
243943
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302664
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49426
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84238
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4415
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4556
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9268
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10580
182.8 IPS |
