MacBook Pro (13-inch, 2022)
Geekbench ML Score
3380
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 29 2025 06:29 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.47 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% |
1210
226.5 IPS |
|
|
Image Classification (F16)
|
100% |
2070
387.3 IPS |
|
|
Image Classification (I8)
|
99% |
2030
379.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
974
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6488
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14434
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
10507
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1100
82.1 IPS |
|
|
Object Detection (F16)
|
100% |
1564
116.7 IPS |
|
|
Object Detection (I8)
|
97% |
1144
85.4 IPS |
|
|
Face Detection (F32)
|
100% |
2502
29.8 IPS |
|
|
Face Detection (F16)
|
97% |
4785
56.9 IPS |
|
|
Face Detection (I8)
|
97% |
4816
57.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5341
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10846
84.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9365
72.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18125
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
23446
30.8 IPS |
|
|
Style Transfer (I8)
|
100% |
22035
29.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4148
148.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5213
186.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5184
185.1 IPS |
|
|
Text Classification (F32)
|
100% |
1845
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3242
4.66 KIPS |
|
|
Text Classification (I8)
|
96% |
3361
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1194
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1193
22.0 IPS |
