iPhone17,2
Geekbench AI Score
5774
Single Precision Score
6752
Half Precision Score
6003
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 04:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2892
537.8 IPS |
|
|
Image Classification (HP)
|
100% |
2803
521.3 IPS |
|
|
Image Classification (Q)
|
97% |
2931
547.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4396
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15743
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16338
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15908
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3248
257.7 IPS |
|
|
Object Detection (HP)
|
100% |
3478
275.8 IPS |
|
|
Object Detection (Q)
|
91% |
2878
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
7905
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
10701
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
7145
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13381
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14455
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12167
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33147
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37920
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36472
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8483
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6491
239.7 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6002
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
835
14.4 IPS |
