iPhone17,2
Geekbench AI Score
4567
Single Precision Score
31977
Half Precision Score
43519
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:06 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% |
1981
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
15290
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19207
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14689
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18307
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9169
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
155213
181.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293208
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
16275
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22503
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41083
488.2 IPS |
|
|
Face Detection (Q)
|
100% |
54792
651.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8039
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95240
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161423
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24529
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246946
317.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301830
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5672
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50836
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85432
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4229
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9486
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11394
196.9 IPS |
