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 | June 19 2025 06:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.43 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% |
1309
245.0 IPS |
|
|
Image Classification (F16)
|
100% |
2385
446.4 IPS |
|
|
Image Classification (I8)
|
99% |
2301
430.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
743
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
928
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1073
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6460
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
13739
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
13712
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1102
82.3 IPS |
|
|
Object Detection (F16)
|
100% |
1982
148.0 IPS |
|
|
Object Detection (I8)
|
97% |
1008
75.3 IPS |
|
|
Face Detection (F32)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (F16)
|
97% |
4800
57.1 IPS |
|
|
Face Detection (I8)
|
97% |
5145
61.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5059
39.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9972
77.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9781
75.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15307
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22304
29.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27575
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4056
144.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4961
177.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4896
174.9 IPS |
|
|
Text Classification (F32)
|
100% |
2011
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3324
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3483
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1509
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1302
24.0 IPS |
