iPhone17,2
Geekbench AI Score
4609
Single Precision Score
31992
Half Precision Score
43603
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:52 AM |
| 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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
15172
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19162
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14640
237.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18247
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9581
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
155181
181.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293190
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
16304
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22661
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
40931
486.3 IPS |
|
|
Face Detection (Q)
|
100% |
53873
640.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95236
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160769
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24828
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246818
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304649
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51263
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85539
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9460
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11338
195.9 IPS |
