iPhone17,1
Geekbench AI Score
4546
Single Precision Score
7774
Half Precision Score
6197
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xevious |
| Upload Date | November 09 2024 02:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.2 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3005
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3362
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8842
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18110
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15274
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7529
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7705
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14199
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9835
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24158
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37314
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30649
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6923
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4982
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5910
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7087
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7120
123.0 IPS |
