iPhone17,2
Geekbench AI Score
4400
Single Precision Score
31968
Half Precision Score
44512
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 13 2024 03:04 AM |
| Views | 32 |
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% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
15500
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
22142
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14674
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18326
297.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8364
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
152876
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291950
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
16227
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22974
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
41100
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
54430
646.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7573
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95339
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161944
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22966
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246065
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302466
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5468
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50284
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84984
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4328
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4345
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9416
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11396
196.9 IPS |
