iPhone17,2
Geekbench AI Score
4395
Single Precision Score
32790
Half Precision Score
46025
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
15548
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21076
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18252
295.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24032
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8285
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
148429
173.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292983
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
16156
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22886
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
41161
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
57982
688.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7437
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95167
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160207
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22698
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243816
313.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301115
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5434
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49745
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83357
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4791
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4776
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9277
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11280
194.9 IPS |
