iPhone17,1
Geekbench AI Score
4578
Single Precision Score
32742
Half Precision Score
45789
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
15145
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19839
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18270
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24152
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8835
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153534
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292414
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
16122
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22308
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
40912
486.1 IPS |
|
|
Face Detection (Q)
|
100% |
59315
704.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7873
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95612
736.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159957
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24146
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244271
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299587
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49597
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83751
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4440
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9826
169.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11597
200.4 IPS |
