iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7897
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 06:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3338
624.6 IPS |
|
|
Image Classification (F16)
|
100% |
10581
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
12181
2.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1452
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1843
30.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1862
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23599
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93567
113.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
92030
111.4 IPS |
|
|
Object Detection (F32)
|
100% |
2439
182.1 IPS |
|
|
Object Detection (F16)
|
100% |
5644
421.4 IPS |
|
|
Object Detection (I8)
|
97% |
2221
165.8 IPS |
|
|
Face Detection (F32)
|
100% |
7513
89.3 IPS |
|
|
Face Detection (F16)
|
97% |
18293
217.5 IPS |
|
|
Face Detection (I8)
|
96% |
18635
221.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16247
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
61397
476.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
65605
508.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40285
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
143514
188.8 IPS |
|
|
Style Transfer (I8)
|
100% |
136101
179.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9368
334.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33938
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33222
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2030
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3343
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3335
4.79 KIPS |
|
|
Machine Translation (F32)
|
0
|
||
|
Machine Translation (F16)
|
100% |
2684
49.4 IPS |
|
|
Machine Translation (I8)
|
99% |
746
13.7 IPS |
