iPhone XS Max
Geekbench AI Score
635
Single Precision Score
700
Half Precision Score
284
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | flipflop |
| Upload Date | September 13 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
96% |
133
24.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
184
2.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1368
1.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
685
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (Q)
|
92% |
134
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (Q)
|
100% |
240
2.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
1696
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1788
13.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
426
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
4093
5.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3490
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
1498
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
279
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.4 IPS |
|
|
Text Classification (HP)
|
100% |
212
282.4 IPS |
|
|
Text Classification (Q)
|
93% |
207
278.0 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
98% |
173
2.99 IPS |
