iPhone17,1
Geekbench AI Score
5739
Single Precision Score
6770
Half Precision Score
6097
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 10:39 PM |
| Views | 16 |
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 | 3.69 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2960
550.4 IPS |
|
|
Image Classification (HP)
|
100% |
2617
486.6 IPS |
|
|
Image Classification (Q)
|
97% |
2892
539.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4497
72.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4440
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15740
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16720
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15642
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3197
253.6 IPS |
|
|
Object Detection (HP)
|
100% |
3438
272.7 IPS |
|
|
Object Detection (Q)
|
91% |
3161
252.6 IPS |
|
|
Face Detection (SP)
|
100% |
7816
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
10830
128.7 IPS |
|
|
Face Detection (Q)
|
100% |
7318
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13224
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14456
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12202
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32985
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39767
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34774
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7804
288.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8376
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6637
245.1 IPS |
|
|
Text Classification (SP)
|
100% |
3458
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5999
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6000
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
905
15.6 IPS |
