iPhone17,1
Geekbench AI Score
5825
Single Precision Score
6801
Half Precision Score
6111
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:33 AM |
| Views | 1 |
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% |
2970
552.4 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.1 IPS |
|
|
Image Classification (Q)
|
97% |
2637
492.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4414
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4315
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15767
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16434
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15232
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3205
254.2 IPS |
|
|
Object Detection (HP)
|
100% |
3563
282.6 IPS |
|
|
Object Detection (Q)
|
91% |
2864
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
7789
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10635
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
7300
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13693
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14411
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11522
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32825
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39485
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35254
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8192
302.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8413
310.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6794
250.9 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5816
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
