iPhone XS
Geekbench AI Score
617
Single Precision Score
638
Half Precision Score
273
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | September 10 2024 08:12 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
96% |
134
25.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
179
2.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
1281
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
92% |
131
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1655
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1645
12.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
416
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
3998
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3229
4.15 IPS |
|
|
Style Transfer (Q)
|
96% |
1452
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
268
9.91 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.3 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.5 IPS |
|
|
Text Classification (Q)
|
93% |
194
260.3 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.69 IPS |
|
|
Machine Translation (Q)
|
98% |
157
2.71 IPS |
