iPhone17,5
Geekbench AI Score
4179
Single Precision Score
32542
Half Precision Score
45510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | March 15 2025 03:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
15303
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20148
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18145
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23735
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7765
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
144513
168.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291895
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
16280
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22460
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
40019
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
56206
667.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7150
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95181
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162374
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21129
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244657
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
306172
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49960
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83154
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4430
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4489
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9887
170.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11656
201.4 IPS |
