iPhone17,2
Geekbench AI Score
4569
Single Precision Score
33151
Half Precision Score
46414
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:59 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
15334
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20053
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18246
295.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24072
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9075
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154876
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
295163
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
16195
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22337
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41895
497.8 IPS |
|
|
Face Detection (Q)
|
100% |
58082
690.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7925
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95579
736.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161358
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24426
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246116
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303470
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51796
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87394
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4831
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5030
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9264
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11662
201.5 IPS |
