iPhone17,2
Geekbench AI Score
4237
Single Precision Score
31954
Half Precision Score
44753
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | barcellos |
| Upload Date | October 02 2024 12:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1932
359.3 IPS |
|
|
Image Classification (HP)
|
100% |
15276
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20266
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14675
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18255
295.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7853
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
143240
167.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291121
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (HP)
|
100% |
16255
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22494
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
41167
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
54983
653.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7211
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94395
727.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160012
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21268
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244749
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304125
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49505
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85833
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4899
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5124
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9220
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11306
195.4 IPS |
