iPhone17,1
Geekbench AI Score
4537
Single Precision Score
33130
Half Precision Score
46138
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 09:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
15511
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20824
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18339
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24250
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8559
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
153199
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292993
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
16262
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22472
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3564
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41250
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
57501
683.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7843
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97096
748.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160233
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23720
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245473
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303832
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5562
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50781
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83880
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4893
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9744
167.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11444
197.8 IPS |
