iPhone XS
Geekbench AI Score
479
Single Precision Score
2043
Half Precision Score
349
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pureintentions82 |
| Upload Date | August 02 2025 07:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
266
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
23212
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
818
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (Q)
|
94% |
189
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
608
7.23 IPS |
|
|
Face Detection (HP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
243
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
605
4.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
18897
145.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
404
3.15 IPS |
|
|
Style Transfer (SP)
|
100% |
1640
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1676
2.15 IPS |
|
|
Style Transfer (Q)
|
96% |
1416
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3453
127.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.2 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.2 IPS |
|
|
Text Classification (Q)
|
93% |
293
393.8 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
98% |
287
4.97 IPS |
