iPhone17,1
Geekbench AI Score
5845
Single Precision Score
6883
Half Precision Score
6112
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | November 28 2024 12:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
3069
570.7 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.5 IPS |
|
|
Image Classification (Q)
|
97% |
2952
550.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4440
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15712
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16403
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15615
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3650
289.5 IPS |
|
|
Object Detection (Q)
|
91% |
3151
251.8 IPS |
|
|
Face Detection (SP)
|
100% |
8033
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
10866
129.1 IPS |
|
|
Face Detection (Q)
|
100% |
7246
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13422
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14534
112.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12586
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33164
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39621
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35812
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8107
299.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8432
311.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6951
256.7 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
851
14.7 IPS |
