iPhone17,2
Geekbench AI Score
4375
Single Precision Score
33065
Half Precision Score
45425
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
15202
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20391
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18184
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24059
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
150010
175.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292888
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
16222
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22404
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
41593
494.2 IPS |
|
|
Face Detection (Q)
|
100% |
58126
690.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94783
730.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159670
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22850
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245512
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304919
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5324
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49833
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83337
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4400
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9902
170.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11200
193.5 IPS |
