MacBook Pro (13-inch, 2022)
Geekbench ML Score
3833
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 13 2024 02:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.48 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% |
1258
235.5 IPS |
|
|
Image Classification (F16)
|
100% |
2419
452.6 IPS |
|
|
Image Classification (I8)
|
99% |
2384
446.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1052
17.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1147
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6640
8.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
14057
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14029
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1397
104.3 IPS |
|
|
Object Detection (F16)
|
100% |
2331
174.0 IPS |
|
|
Object Detection (I8)
|
97% |
1374
102.6 IPS |
|
|
Face Detection (F32)
|
100% |
2857
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
5940
70.6 IPS |
|
|
Face Detection (I8)
|
97% |
5957
70.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5725
44.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11674
90.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11326
87.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17975
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28169
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28093
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4175
149.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4860
173.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4857
173.4 IPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3451
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3476
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1585
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1396
25.7 IPS |
