iPhone17,1
Geekbench AI Score
5812
Single Precision Score
6818
Half Precision Score
6004
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | demo2fast |
| Upload Date | October 31 2024 04:59 PM |
| Views | 2 |
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% |
2825
525.4 IPS |
|
|
Image Classification (HP)
|
100% |
2601
483.7 IPS |
|
|
Image Classification (Q)
|
97% |
2982
556.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3515
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4498
72.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4471
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15961
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16738
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15553
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3245
257.4 IPS |
|
|
Object Detection (HP)
|
100% |
3671
291.2 IPS |
|
|
Object Detection (Q)
|
91% |
2950
235.7 IPS |
|
|
Face Detection (SP)
|
100% |
7806
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
10866
129.1 IPS |
|
|
Face Detection (Q)
|
100% |
7286
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13527
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14611
112.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12160
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33225
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39712
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36132
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8047
297.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8524
314.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6878
254.0 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
775
13.4 IPS |
