iPhone17,2
Geekbench AI Score
4619
Single Precision Score
32572
Half Precision Score
45444
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 07:47 PM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
15051
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
19087
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18261
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24078
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9311
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154864
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294651
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
16159
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22287
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41207
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
58937
700.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8076
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96062
740.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160366
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24955
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245982
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303672
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50635
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86811
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4281
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4438
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9260
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11258
194.5 IPS |
