iPhone17,5
Geekbench AI Score
4269
Single Precision Score
7305
Half Precision Score
5842
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3173
590.0 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3243
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8426
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
16901
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14190
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
97% |
3604
286.9 IPS |
|
|
Object Detection (Q)
|
94% |
2527
201.4 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6723
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3845
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7575
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13507
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9199
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17679
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35057
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29069
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5987
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5984
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5889
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5907
102.1 IPS |
