iPhone17,2
Geekbench AI Score
4383
Single Precision Score
7620
Half Precision Score
6045
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | danbedford |
| Upload Date | November 05 2024 12:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2248
419.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8521
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17525
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14592
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2028
160.8 IPS |
|
|
Object Detection (HP)
|
97% |
3700
294.6 IPS |
|
|
Object Detection (Q)
|
94% |
2591
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
7290
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
4094
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7421
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13700
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9516
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23136
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36712
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29673
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4828
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5975
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5991
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6945
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6864
118.6 IPS |
