iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3200
Single Precision Score
14265
Half Precision Score
13762
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 09:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
5969
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5639
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8780
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8971
145.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
65826
76.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64362
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
6631
527.5 IPS |
|
|
Object Detection (Q)
|
91% |
6059
484.1 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
13939
165.6 IPS |
|
|
Face Detection (Q)
|
100% |
11665
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5633
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41876
322.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
42354
331.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16905
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118513
152.3 IPS |
|
|
Style Transfer (Q)
|
96% |
109646
141.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23264
859.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23215
857.2 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2573
44.5 IPS |
