iPhone17,1
Geekbench AI Score
4569
Single Precision Score
32890
Half Precision Score
45531
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:21 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% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
15161
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19361
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18348
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24151
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8978
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154768
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294606
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
100% |
16273
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22602
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
41813
496.8 IPS |
|
|
Face Detection (Q)
|
100% |
57425
682.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8004
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95497
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159967
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24295
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245852
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301389
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5608
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50559
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84953
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4353
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4439
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9788
168.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11781
203.6 IPS |
