iPhone17,5
Geekbench AI Score
3561
Single Precision Score
3755
Half Precision Score
3416
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 15 2025 12:20 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1151
214.1 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (Q)
|
97% |
849
158.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2946
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9034
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10143
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7786
9.13 IPS |
|
|
Object Detection (SP)
|
100% |
2028
160.8 IPS |
|
|
Object Detection (HP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (Q)
|
91% |
1672
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
6315
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
7355
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4945
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9686
74.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8472
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21283
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24114
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20952
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4277
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4159
153.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3288
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5993
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5925
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
98% |
389
6.72 IPS |
