iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2861
Single Precision Score
4317
Half Precision Score
3597
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | August 16 2024 11:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (Q)
|
99% |
1687
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5859
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13491
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11514
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
1967
156.6 IPS |
|
|
Object Detection (Q)
|
94% |
1522
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
2645
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8173
63.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4070
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16035
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24934
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24939
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3380
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3745
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3072
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3092
53.4 IPS |
