iPhone17,1
Geekbench AI Score
5785
Single Precision Score
6674
Half Precision Score
6109
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | October 28 2024 08:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2741
509.8 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.2 IPS |
|
|
Image Classification (Q)
|
97% |
2616
488.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3467
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4404
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4353
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15778
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16560
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15269
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3261
258.6 IPS |
|
|
Object Detection (HP)
|
100% |
3518
279.0 IPS |
|
|
Object Detection (Q)
|
91% |
2861
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
8007
95.1 IPS |
|
|
Face Detection (HP)
|
100% |
10743
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
7368
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13465
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14443
111.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11481
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33301
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37892
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35398
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8142
300.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8456
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6802
251.2 IPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5854
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1219
21.1 IPS |
