iPhone XS Max
Geekbench AI Score
635
Single Precision Score
740
Half Precision Score
295
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Osoczer |
| Upload Date | March 05 2026 08:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.5 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| 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 | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.7 IPS |
|
|
Image Classification (Q)
|
96% |
139
26.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
183
2.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1555
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2092
2.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
706
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
579
46.0 IPS |
|
|
Object Detection (Q)
|
92% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
2209
26.2 IPS |
|
|
Face Detection (Q)
|
100% |
241
2.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2275
17.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
3393
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3592
4.62 IPS |
|
|
Style Transfer (Q)
|
96% |
1683
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
280
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.3 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.6 IPS |
|
|
Text Classification (Q)
|
93% |
208
279.1 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.04 IPS |
|
|
Machine Translation (Q)
|
98% |
174
3.00 IPS |
