iPhone XS
Geekbench AI Score
427
Single Precision Score
1939
Half Precision Score
300
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Foxyz |
| Upload Date | February 22 2025 04:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
262
48.8 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.8 IPS |
|
|
Image Classification (Q)
|
99% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
185
3.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
894
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
20300
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
568
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (Q)
|
94% |
161
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (HP)
|
100% |
5017
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
196
2.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
513
3.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
17975
138.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
342
2.67 IPS |
|
|
Style Transfer (SP)
|
100% |
1387
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1370
1.76 IPS |
|
|
Style Transfer (Q)
|
96% |
1124
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
407
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.7 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.5 IPS |
|
|
Text Classification (Q)
|
93% |
292
392.5 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.26 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.95 IPS |
