iPhone17,2
Geekbench AI Score
4348
Single Precision Score
32864
Half Precision Score
46152
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | arcashton |
| Upload Date | November 14 2024 08:48 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
15336
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21225
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18301
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24161
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8110
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
147332
171.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292374
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2066
163.9 IPS |
|
|
Object Detection (HP)
|
100% |
16345
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22754
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
41991
498.9 IPS |
|
|
Face Detection (Q)
|
100% |
58392
693.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7319
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95344
734.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160385
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22331
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244769
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303006
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49899
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83902
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4698
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4697
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9466
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11492
198.6 IPS |
