iPhone XS
Geekbench AI Score
439
Single Precision Score
1993
Half Precision Score
315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
263
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
857
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
21628
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
612
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (Q)
|
94% |
172
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (HP)
|
100% |
5267
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
214
2.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
18736
144.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
351
2.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1437
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1400
1.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1149
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
426
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.0 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.7 IPS |
|
|
Text Classification (Q)
|
93% |
293
393.5 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
98% |
280
4.84 IPS |
