iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3229
Single Precision Score
5309
Half Precision Score
4382
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 08:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.1 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13953
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2446
194.8 IPS |
|
|
Object Detection (Q)
|
94% |
1807
144.1 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11086
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7685
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17206
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26451
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22097
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3398
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3806
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3895
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4193
72.5 IPS |
