iPhone17,2
Geekbench AI Score
4549
Single Precision Score
32945
Half Precision Score
45856
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gtimchenko |
| Upload Date | November 23 2024 01:50 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
15219
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20273
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24129
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9024
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153944
179.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293562
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
16184
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22287
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41242
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
57971
688.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7874
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95232
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160960
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24304
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245427
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300708
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50124
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83650
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4735
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9558
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11560
199.8 IPS |
