iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3224
Single Precision Score
15507
Half Precision Score
15208
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
6286
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5853
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9753
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10070
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66393
77.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65849
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7240
575.9 IPS |
|
|
Object Detection (Q)
|
91% |
6690
534.6 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16509
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
15347
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5777
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47254
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47799
373.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17182
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119988
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112199
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23231
857.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23755
877.2 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3402
58.8 IPS |
