iPhone17,2
Geekbench AI Score
4555
Single Precision Score
31968
Half Precision Score
44025
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
15244
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19669
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14694
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18301
296.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9007
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154128
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293212
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
16191
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22541
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41063
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
55073
654.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8028
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95662
737.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161095
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24410
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246209
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303265
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50843
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85355
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4303
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4341
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3765
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9427
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11534
199.3 IPS |
