iPhone17,1
Geekbench AI Score
5803
Single Precision Score
6859
Half Precision Score
6143
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (HP)
|
100% |
2762
513.7 IPS |
|
|
Image Classification (Q)
|
97% |
2659
496.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4453
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15797
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16528
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15276
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3254
258.1 IPS |
|
|
Object Detection (HP)
|
100% |
3577
283.8 IPS |
|
|
Object Detection (Q)
|
91% |
2835
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
7837
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
10830
128.7 IPS |
|
|
Face Detection (Q)
|
100% |
7491
89.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13309
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14510
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12066
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33249
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39730
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37214
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8147
300.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8527
314.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6861
253.3 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6059
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1127
19.5 IPS |
