iPhone17,2
Geekbench AI Score
4391
Single Precision Score
32314
Half Precision Score
44642
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | naaajsboy |
| Upload Date | October 03 2024 07:28 AM |
| Views | 2 |
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% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
15499
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21122
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14673
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18294
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8428
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
150762
175.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291536
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2092
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
16253
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22576
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41040
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
55397
658.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7462
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95255
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160863
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22599
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
246389
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304306
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49840
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84177
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4683
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10037
172.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11565
199.9 IPS |
