iPhone17,1
Geekbench AI Score
5784
Single Precision Score
6807
Half Precision Score
5922
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 09 2024 12:57 PM |
| Views | 9 |
| Notes | iPhone 16 Pro |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2973
552.8 IPS |
|
|
Image Classification (HP)
|
100% |
3091
574.8 IPS |
|
|
Image Classification (Q)
|
97% |
2792
521.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4413
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4390
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15748
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16488
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15523
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3265
259.0 IPS |
|
|
Object Detection (HP)
|
100% |
3489
276.8 IPS |
|
|
Object Detection (Q)
|
91% |
2846
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
7841
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
10632
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7169
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13329
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14292
110.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12107
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32737
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39607
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36480
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8156
301.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8526
314.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6724
248.3 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6094
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6027
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
764
13.2 IPS |
