MacBook Pro (13-inch, 2022)
Geekbench ML Score
3828
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 17 2025 07:02 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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 | 3.29 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% |
1302
243.7 IPS |
|
|
Image Classification (F16)
|
100% |
2380
445.3 IPS |
|
|
Image Classification (I8)
|
99% |
2509
469.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
858
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1033
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1030
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6317
7.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
14355
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14351
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1445
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2319
173.1 IPS |
|
|
Object Detection (I8)
|
97% |
1445
107.9 IPS |
|
|
Face Detection (F32)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5597
66.6 IPS |
|
|
Face Detection (I8)
|
97% |
5782
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5699
44.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11762
91.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11219
87.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17436
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27974
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27806
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4198
149.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4928
176.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4950
176.8 IPS |
|
|
Text Classification (F32)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3353
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3394
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1328
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1633
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1331
24.5 IPS |
