iPhone17,2
Geekbench AI Score
4545
Single Precision Score
33035
Half Precision Score
43933
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 02 2024 01:58 PM |
| Views | 8 |
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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
15207
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20550
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18292
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24074
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9162
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154820
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292356
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
16227
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22760
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
42171
501.1 IPS |
|
|
Face Detection (Q)
|
100% |
58579
696.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95084
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160819
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24149
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245779
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302550
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50004
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84313
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4840
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2986
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9287
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11342
196.0 IPS |
