iPhone17,5
Geekbench AI Score
4208
Single Precision Score
7100
Half Precision Score
5675
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | June 10 2025 02:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (Q)
|
96% |
2246
419.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3102
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8146
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
15868
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13565
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.2 IPS |
|
|
Object Detection (HP)
|
97% |
3618
288.0 IPS |
|
|
Object Detection (Q)
|
94% |
2439
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6109
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3678
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12657
97.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8757
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18974
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34099
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27693
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5060
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4752
175.5 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5945
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5940
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5957
102.9 IPS |
