iPhone17,2
Geekbench AI Score
4550
Single Precision Score
32688
Half Precision Score
45847
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | November 11 2024 12:28 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
14999
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20279
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18107
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24044
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9032
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154064
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293164
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
16112
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22169
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41237
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
58009
689.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7928
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95294
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163518
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24022
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245446
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302426
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5799
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49553
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83624
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4689
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4808
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9219
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11228
194.0 IPS |
