iPhone17,1
Geekbench AI Score
4645
Single Precision Score
7851
Half Precision Score
6296
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ccws |
| Upload Date | November 30 2024 06:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9638
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19141
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16339
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7659
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4322
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8099
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14157
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10131
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24756
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38028
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31248
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7182
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7205
124.5 IPS |
