iPhone17,1
Geekbench AI Score
4528
Single Precision Score
32938
Half Precision Score
45667
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:19 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% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
15147
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20319
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18310
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24214
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8549
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
153400
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294772
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
100% |
16281
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22608
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3664
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41569
493.9 IPS |
|
|
Face Detection (Q)
|
100% |
57558
683.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7723
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95121
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165032
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23636
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244870
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301385
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50712
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84280
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4360
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10122
174.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11438
197.7 IPS |
