iPhone17,1
Geekbench AI Score
4645
Single Precision Score
32005
Half Precision Score
43349
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | September 29 2024 01:24 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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
15275
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19190
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14684
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18295
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9578
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154568
180.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292805
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.0 IPS |
|
|
Object Detection (HP)
|
100% |
16163
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22122
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3674
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
40157
477.2 IPS |
|
|
Face Detection (Q)
|
100% |
54038
642.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8098
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95100
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161573
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24942
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244873
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303891
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5824
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50696
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84842
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4020
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10078
173.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11387
196.8 IPS |
