MacBook Pro (13-inch, 2022)
Geekbench ML Score
3821
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 25 2024 09:14 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.41 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1310
245.1 IPS |
|
|
Image Classification (F16)
|
100% |
2368
443.2 IPS |
|
|
Image Classification (I8)
|
99% |
2332
436.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1122
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1010
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6301
7.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
13886
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13872
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1437
107.3 IPS |
|
|
Object Detection (F16)
|
100% |
2477
184.9 IPS |
|
|
Object Detection (I8)
|
97% |
1439
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5846
69.5 IPS |
|
|
Face Detection (I8)
|
97% |
5812
69.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5497
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11615
90.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11633
90.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18107
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26942
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27011
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4956
177.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4950
176.8 IPS |
|
|
Text Classification (F32)
|
100% |
1994
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3245
4.66 KIPS |
|
|
Text Classification (I8)
|
96% |
3335
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1331
24.5 IPS |
