iPhone17,2
Geekbench AI Score
4600
Single Precision Score
33031
Half Precision Score
46021
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:36 PM |
| Views | 1 |
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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
15119
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19948
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18219
295.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24062
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9242
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154674
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294021
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
16254
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22537
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41821
496.9 IPS |
|
|
Face Detection (Q)
|
100% |
60033
713.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8024
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95706
737.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161721
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24717
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246460
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303662
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50348
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84446
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4687
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9592
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11398
197.0 IPS |
