iPhone17,2
Geekbench AI Score
4384
Single Precision Score
7567
Half Precision Score
6059
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | November 09 2024 11:20 AM |
| Views | 4 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8682
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17544
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15011
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2005
159.1 IPS |
|
|
Object Detection (HP)
|
97% |
3738
297.6 IPS |
|
|
Object Detection (Q)
|
94% |
2632
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7289
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
4109
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7503
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13813
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9626
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23135
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36320
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29735
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6723
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4849
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5716
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6822
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6908
119.4 IPS |
