iPhone17,2
Geekbench AI Score
4492
Single Precision Score
32914
Half Precision Score
45993
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
15369
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20845
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18178
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24058
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8685
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154503
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293361
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
16299
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22474
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41761
496.2 IPS |
|
|
Face Detection (Q)
|
100% |
57826
687.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7710
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95244
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161672
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23665
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245943
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301169
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5562
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50141
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84262
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4617
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9367
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11341
196.0 IPS |
