iPhone17,2
Geekbench AI Score
4596
Single Precision Score
31934
Half Precision Score
44215
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:58 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% |
1958
364.1 IPS |
|
|
Image Classification (HP)
|
100% |
15112
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20498
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14650
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18227
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9391
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154928
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293475
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
16314
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22633
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41029
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
55504
659.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8064
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95385
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162039
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24812
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246297
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302959
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5751
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50469
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85351
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4368
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9389
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11329
195.8 IPS |
