iPhone17,2
Geekbench AI Score
5799
Single Precision Score
6776
Half Precision Score
6216
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2988
555.7 IPS |
|
|
Image Classification (HP)
|
100% |
2684
499.2 IPS |
|
|
Image Classification (Q)
|
97% |
2968
553.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3372
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4416
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4413
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15726
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16549
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15659
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3160
250.7 IPS |
|
|
Object Detection (HP)
|
100% |
3558
282.3 IPS |
|
|
Object Detection (Q)
|
91% |
2862
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
7925
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
10774
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
7181
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13374
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14480
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12052
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33044
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39537
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35909
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8064
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8359
308.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6832
252.3 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5875
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1178
20.4 IPS |
