iPhone17,2
Geekbench AI Score
4570
Single Precision Score
32080
Half Precision Score
43806
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:01 PM |
| Views | 1 |
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% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
15264
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19254
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14678
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18256
295.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9118
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154498
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293015
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (HP)
|
100% |
16243
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22773
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41022
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
54836
651.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8046
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95177
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161078
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24309
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246849
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302160
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50887
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84823
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4329
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9621
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11322
195.7 IPS |
