iPhone17,2
Geekbench AI Score
5760
Single Precision Score
6879
Half Precision Score
6101
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2971
552.4 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.4 IPS |
|
|
Image Classification (Q)
|
97% |
2659
496.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3365
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4458
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4368
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15728
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16507
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15265
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (HP)
|
100% |
3724
295.4 IPS |
|
|
Object Detection (Q)
|
91% |
2741
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
7616
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
10708
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
7334
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13343
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14502
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11595
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32843
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39607
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35614
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8070
298.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8430
311.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6772
250.1 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5952
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1206
20.8 IPS |
