iPhone17,1
Geekbench AI Score
5804
Single Precision Score
6825
Half Precision Score
6019
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 09:09 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (HP)
|
100% |
2850
530.1 IPS |
|
|
Image Classification (Q)
|
97% |
2764
515.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3577
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4400
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15781
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16520
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15580
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3193
253.2 IPS |
|
|
Object Detection (HP)
|
100% |
3710
294.3 IPS |
|
|
Object Detection (Q)
|
91% |
2862
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
7906
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
10678
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
7201
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13401
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14436
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12553
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33078
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39488
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35515
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8011
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8435
311.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6782
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5908
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
896
15.5 IPS |
