MacBook Pro (13-inch, 2022)
Geekbench ML Score
3614
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 12 2024 10:11 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1360
254.5 IPS |
|
|
Image Classification (F16)
|
100% |
2449
458.2 IPS |
|
|
Image Classification (I8)
|
99% |
2454
459.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
810
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1123
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5154
6.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
14230
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14227
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1419
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (I8)
|
97% |
1418
105.9 IPS |
|
|
Face Detection (F32)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5685
67.6 IPS |
|
|
Face Detection (I8)
|
97% |
5750
68.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5631
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10391
80.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11004
85.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18019
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27611
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27610
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3934
140.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4974
177.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5004
178.7 IPS |
|
|
Text Classification (F32)
|
100% |
2002
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
1303
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1548
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1360
25.0 IPS |
