MacBook Pro (13-inch, 2022)
Geekbench ML Score
3493
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 07 2024 07:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.20 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% |
1253
234.5 IPS |
|
|
Image Classification (F16)
|
100% |
2200
411.6 IPS |
|
|
Image Classification (I8)
|
99% |
2172
406.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
754
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
915
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5467
6.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13793
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13831
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1354
101.1 IPS |
|
|
Object Detection (F16)
|
100% |
2146
160.2 IPS |
|
|
Object Detection (I8)
|
97% |
1230
91.8 IPS |
|
|
Face Detection (F32)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (F16)
|
97% |
5079
60.4 IPS |
|
|
Face Detection (I8)
|
97% |
5399
64.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5423
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11365
88.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11027
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17555
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26906
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
23878
31.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3552
126.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4751
169.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4752
169.7 IPS |
|
|
Text Classification (F32)
|
100% |
1947
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
2592
3.73 KIPS |
|
|
Text Classification (I8)
|
96% |
2930
4.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1175
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1472
27.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1299
23.9 IPS |
