iPhone17,2
Geekbench AI Score
4437
Single Precision Score
32044
Half Precision Score
44495
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | September 22 2024 08:25 PM |
| Views | 17 |
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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
15219
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20700
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14657
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18136
294.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8504
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
151664
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292995
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2084
165.3 IPS |
|
|
Object Detection (HP)
|
100% |
16087
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22550
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
40955
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
54554
648.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7540
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95436
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161956
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23074
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245780
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302485
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51049
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84026
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4570
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4837
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9359
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11291
195.1 IPS |
