iPhone17,5
Geekbench AI Score
4472
Single Precision Score
7550
Half Precision Score
6064
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 12:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
3237
602.0 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3245
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9150
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18466
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15686
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2294
181.9 IPS |
|
|
Object Detection (HP)
|
97% |
3721
296.2 IPS |
|
|
Object Detection (Q)
|
94% |
2593
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6910
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4054
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8086
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14216
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9965
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19444
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37897
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31009
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5477
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6012
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6036
104.3 IPS |
