iPhone XS
Geekbench AI Score
582
Single Precision Score
672
Half Precision Score
374
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 20 2024 02:11 PM |
| Views | 4 |
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% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
99% |
258
48.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
100% |
253
4.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1598
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
652
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (Q)
|
92% |
131
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1980
23.5 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
1601
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2599
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3232
4.15 IPS |
|
|
Style Transfer (Q)
|
100% |
3348
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
266
9.85 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.3 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.6 IPS |
|
|
Text Classification (Q)
|
93% |
197
264.5 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.73 IPS |
|
|
Machine Translation (Q)
|
98% |
152
2.62 IPS |
