MacBook Pro (13-inch, 2022)
Geekbench ML Score
3826
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 01 2025 07:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.45 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% |
1349
252.3 IPS |
|
|
Image Classification (F16)
|
100% |
2413
451.5 IPS |
|
|
Image Classification (I8)
|
99% |
2378
444.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1126
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6434
7.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
13858
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13942
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1359
101.4 IPS |
|
|
Object Detection (F16)
|
100% |
2338
174.6 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5846
69.5 IPS |
|
|
Face Detection (I8)
|
97% |
5816
69.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5724
44.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11657
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11228
87.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18049
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27897
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27802
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4090
146.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4893
174.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5028
179.5 IPS |
|
|
Text Classification (F32)
|
100% |
2038
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3352
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3354
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1572
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1380
25.4 IPS |
