iPhone17,2
Geekbench AI Score
4492
Single Precision Score
33209
Half Precision Score
46545
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:03 PM |
| Views | 1 |
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% |
1911
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
15433
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20889
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18301
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24166
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8763
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153914
179.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292966
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
16437
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22995
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41950
498.5 IPS |
|
|
Face Detection (Q)
|
100% |
57555
683.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7748
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95447
735.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163521
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23724
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245768
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301358
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50726
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84744
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5124
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9531
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11397
197.0 IPS |
