iPhone17,1
Geekbench AI Score
4396
Single Precision Score
7569
Half Precision Score
6034
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2246
419.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8264
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
17051
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14483
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2057
163.2 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7377
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7335
56.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13477
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9464
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22892
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36442
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29820
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6760
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5942
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7002
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7072
122.2 IPS |
