iPhone17,5
Geekbench AI Score
4086
Single Precision Score
32904
Half Precision Score
46449
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 01:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
14976
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
21110
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18171
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23748
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7557
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
136012
158.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
279371
327.4 IPS |
|
|
Object Detection (SP)
|
100% |
2155
171.0 IPS |
|
|
Object Detection (HP)
|
100% |
16278
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23220
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
40456
480.7 IPS |
|
|
Face Detection (Q)
|
100% |
55561
660.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7280
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95384
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160047
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
16097
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243984
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303845
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4283
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51079
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85749
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4984
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10304
177.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11631
201.0 IPS |
