iPhone17,2
Geekbench AI Score
4543
Single Precision Score
31884
Half Precision Score
43793
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 25 2024 04:40 AM |
| Views | 11 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
15310
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
19227
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14670
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18271
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9028
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154767
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293131
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16353
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22539
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
40952
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
54892
652.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7972
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95273
734.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160378
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24129
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246425
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303788
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5695
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50000
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84778
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4282
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4350
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9279
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11334
195.9 IPS |
