iPhone17,2
Geekbench AI Score
4429
Single Precision Score
32323
Half Precision Score
44752
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 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
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
15457
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20417
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14667
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18270
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8291
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
153567
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291465
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
100% |
16438
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22254
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41118
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
55002
653.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7605
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95316
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161351
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23313
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246004
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303306
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50284
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85825
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4734
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5005
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3765
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9478
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11518
199.1 IPS |
