iPhone17,1
Geekbench AI Score
5850
Single Precision Score
6748
Half Precision Score
6306
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | huebs |
| Upload Date | October 31 2024 07:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3159
587.4 IPS |
|
|
Image Classification (HP)
|
100% |
2737
508.9 IPS |
|
|
Image Classification (Q)
|
97% |
2903
541.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4411
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4411
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15928
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16737
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15949
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3210
254.6 IPS |
|
|
Object Detection (HP)
|
100% |
3533
280.2 IPS |
|
|
Object Detection (Q)
|
91% |
3137
250.6 IPS |
|
|
Face Detection (SP)
|
100% |
7869
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
10840
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
7168
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13729
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14727
113.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12332
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33303
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37905
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37502
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8120
299.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8497
313.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6941
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5939
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1136
19.6 IPS |
