iPhone17,1
Geekbench AI Score
4547
Single Precision Score
32105
Half Precision Score
44736
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | xeqfan |
| Upload Date | October 24 2024 02:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
15321
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21180
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14714
238.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18291
296.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8768
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152843
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291466
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
16307
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22655
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
41204
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
58291
692.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7802
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95116
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160543
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23666
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245699
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299871
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5691
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49919
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84203
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4563
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4671
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9443
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11372
196.5 IPS |
