MacBook Pro (13-inch, 2022)
Geekbench ML Score
3491
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 02 2025 06:46 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.46 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% |
1327
248.4 IPS |
|
|
Image Classification (F16)
|
100% |
2379
445.2 IPS |
|
|
Image Classification (I8)
|
99% |
2310
432.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
725
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
951
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6225
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
14161
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14276
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1331
99.4 IPS |
|
|
Object Detection (F16)
|
100% |
2241
167.3 IPS |
|
|
Object Detection (I8)
|
97% |
1381
103.1 IPS |
|
|
Face Detection (F32)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
5153
61.3 IPS |
|
|
Face Detection (I8)
|
97% |
5520
65.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4452
34.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9263
71.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8185
63.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15093
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
20936
27.5 IPS |
|
|
Style Transfer (I8)
|
100% |
21539
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3075
109.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4586
163.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5279
188.5 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3392
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3215
4.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1301
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1584
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1363
25.1 IPS |
