iPhone17,1
Geekbench AI Score
5751
Single Precision Score
6534
Half Precision Score
6206
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:49 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% |
2945
547.6 IPS |
|
|
Image Classification (HP)
|
100% |
1944
361.6 IPS |
|
|
Image Classification (Q)
|
97% |
2923
545.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3503
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4403
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4414
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15502
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15581
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15355
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3238
256.9 IPS |
|
|
Object Detection (HP)
|
100% |
3626
287.6 IPS |
|
|
Object Detection (Q)
|
91% |
3003
240.0 IPS |
|
|
Face Detection (SP)
|
100% |
7214
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
11065
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
7796
92.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14051
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15280
117.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13218
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32431
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38200
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36871
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8064
297.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8382
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6905
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
928
16.0 IPS |
