iPhone17,2
Geekbench AI Score
4349
Single Precision Score
32147
Half Precision Score
44816
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:31 AM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
15605
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20153
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14681
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18272
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8119
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
148564
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
288861
338.6 IPS |
|
|
Object Detection (SP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (HP)
|
100% |
16276
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22485
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
40668
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
54352
645.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7452
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94919
731.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160245
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22508
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245371
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303646
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5199
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50020
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84130
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4766
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9426
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11349
196.1 IPS |
