iPhone17,1
Geekbench AI Score
4375
Single Precision Score
32224
Half Precision Score
45023
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 08 2024 03:23 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
15575
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20667
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14729
238.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18342
297.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8124
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
145074
169.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
290863
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
16342
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22622
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
41628
494.6 IPS |
|
|
Face Detection (Q)
|
100% |
57467
682.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7402
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95015
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160363
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22485
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244891
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301387
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50253
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84365
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4864
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5092
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9376
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11501
198.8 IPS |
