iPhone17,2
Geekbench AI Score
4590
Single Precision Score
32697
Half Precision Score
44734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | September 27 2024 06:14 AM |
| Views | 17 |
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% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
15244
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19632
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14669
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18197
295.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9179
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154909
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293550
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
16358
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22870
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
41076
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
54925
652.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8001
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95497
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161080
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24655
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
246299
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303030
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5792
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51161
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85482
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5014
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5096
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9947
171.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11458
198.0 IPS |
