iPhone17,1
Geekbench AI Score
4582
Single Precision Score
32962
Half Precision Score
46340
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19853
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24169
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9036
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154252
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293798
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
16267
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23255
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41239
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
56967
676.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7806
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95262
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162199
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24186
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245559
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300687
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5734
211.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50927
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84254
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4674
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9395
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11473
198.3 IPS |
