iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3205
Single Precision Score
15688
Half Precision Score
15394
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
6204
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5818
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9652
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10010
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68746
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66749
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7214
573.9 IPS |
|
|
Object Detection (Q)
|
91% |
6690
534.5 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16387
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
15207
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47278
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47603
372.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16973
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120028
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114888
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23063
851.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23795
878.6 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3657
63.2 IPS |
