iPhone17,1
Geekbench AI Score
5821
Single Precision Score
6806
Half Precision Score
6107
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2966
551.6 IPS |
|
|
Image Classification (HP)
|
100% |
2794
519.7 IPS |
|
|
Image Classification (Q)
|
97% |
2915
544.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3544
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4445
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4394
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15660
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16521
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15568
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
3608
286.2 IPS |
|
|
Object Detection (Q)
|
91% |
2886
230.6 IPS |
|
|
Face Detection (SP)
|
100% |
7824
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10638
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
7177
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13545
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14500
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12634
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33169
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39636
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36696
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8099
299.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8480
313.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6825
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5806
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.5 IPS |
