iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2919
Single Precision Score
4378
Half Precision Score
3629
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | August 17 2024 02:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
1704
317.0 IPS |
|
|
Image Classification (Q)
|
99% |
1701
317.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5869
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13512
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11553
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
1977
157.4 IPS |
|
|
Object Detection (Q)
|
94% |
1535
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4139
49.2 IPS |
|
|
Face Detection (Q)
|
100% |
2673
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5243
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8201
63.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4137
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16137
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25153
32.3 IPS |
|
|
Style Transfer (Q)
|
100% |
25171
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3409
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3654
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3197
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3195
55.2 IPS |
