iPhone17,1
Geekbench AI Score
4436
Single Precision Score
32802
Half Precision Score
46254
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rinsxi |
| Upload Date | October 31 2024 02:23 AM |
| Views | 2 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
15177
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20657
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18344
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24066
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8396
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
150159
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292518
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
16318
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22226
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41441
492.4 IPS |
|
|
Face Detection (Q)
|
100% |
59181
703.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7404
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94988
731.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159867
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22977
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244724
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302308
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5503
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50030
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83860
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4728
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5096
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9279
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11346
196.1 IPS |
