iPhone17,2
Geekbench AI Score
4377
Single Precision Score
32953
Half Precision Score
45953
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:25 AM |
| Views | 2 |
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% |
1977
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
14290
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
21625
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18274
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24099
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8301
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
150394
175.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
281891
330.4 IPS |
|
|
Object Detection (SP)
|
100% |
2078
164.8 IPS |
|
|
Object Detection (HP)
|
100% |
16544
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22610
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
41565
493.9 IPS |
|
|
Face Detection (Q)
|
100% |
57345
681.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7373
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94801
730.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159421
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22722
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244964
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301440
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5289
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49874
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83357
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4863
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10242
176.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11318
195.6 IPS |
