iPhone17,2
Geekbench AI Score
4504
Single Precision Score
7733
Half Precision Score
6180
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Graeme Stewart |
| Upload Date | September 23 2024 04:15 PM |
| Views | 8 |
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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9041
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18303
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15626
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.1 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7451
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4178
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7754
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14225
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9778
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23992
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37564
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30877
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6941
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7056
121.9 IPS |
