iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2126
Single Precision Score
12820
Half Precision Score
12506
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:48 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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% |
1070
198.9 IPS |
|
|
Image Classification (HP)
|
100% |
6264
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6379
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4234
68.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4252
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
65617
76.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
64077
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (HP)
|
99% |
6926
550.9 IPS |
|
|
Object Detection (Q)
|
93% |
6306
503.2 IPS |
|
|
Face Detection (SP)
|
100% |
2088
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
12474
148.2 IPS |
|
|
Face Detection (Q)
|
100% |
12716
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3803
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43774
337.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
46481
359.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10262
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118818
152.7 IPS |
|
|
Style Transfer (Q)
|
100% |
124041
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17741
655.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20343
753.7 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2557
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2240
38.7 IPS |
