iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3499
Single Precision Score
25598
Half Precision Score
28658
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
13510
2.51 KIPS |
|
|
Image Classification (Q)
|
96% |
15040
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19040
308.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23754
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6866
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
105607
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105467
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
14827
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
17480
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
32465
385.8 IPS |
|
|
Face Detection (Q)
|
100% |
40817
485.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5708
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84102
648.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
102930
804.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19028
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200366
257.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190703
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4185
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35708
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44106
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2251
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3637
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4041
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4245
73.4 IPS |
