iPhone17,2
Geekbench AI Score
4582
Single Precision Score
31928
Half Precision Score
43941
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:40 AM |
| Views | 1 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
15075
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
19806
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14629
237.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18201
295.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9230
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154808
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292773
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2154
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
16280
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22180
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
40776
484.5 IPS |
|
|
Face Detection (Q)
|
100% |
55225
656.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7981
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95243
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161751
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24624
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
246247
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302712
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50525
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85126
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4372
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4370
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9377
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11397
196.9 IPS |
