MacBook Pro (13-inch, 2022)
Geekbench ML Score
3716
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2025 06:57 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.22 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% |
1335
249.9 IPS |
|
|
Image Classification (F16)
|
100% |
2408
450.6 IPS |
|
|
Image Classification (I8)
|
99% |
2304
431.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
752
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1001
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6503
7.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
13709
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
13945
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1286
96.0 IPS |
|
|
Object Detection (F16)
|
100% |
2309
172.4 IPS |
|
|
Object Detection (I8)
|
97% |
1279
95.5 IPS |
|
|
Face Detection (F32)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5637
67.0 IPS |
|
|
Face Detection (I8)
|
97% |
5462
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5560
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11521
89.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11342
88.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16910
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27994
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28224
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4203
150.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4910
175.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4992
178.3 IPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3416
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3344
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1267
23.3 IPS |
