MacBook Pro (13-inch, 2022)
Geekbench ML Score
3770
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 18 2025 07:35 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.35 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% |
1285
240.4 IPS |
|
|
Image Classification (F16)
|
100% |
2290
428.6 IPS |
|
|
Image Classification (I8)
|
99% |
2364
442.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
795
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
986
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6313
7.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
14055
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14476
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1437
107.2 IPS |
|
|
Object Detection (F16)
|
100% |
2409
179.9 IPS |
|
|
Object Detection (I8)
|
97% |
1421
106.1 IPS |
|
|
Face Detection (F32)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5818
69.2 IPS |
|
|
Face Detection (I8)
|
96% |
5479
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5373
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10915
84.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10912
84.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18195
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27154
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27433
36.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4117
147.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5100
182.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5215
186.3 IPS |
|
|
Text Classification (F32)
|
100% |
1947
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3309
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3464
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1659
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1318
24.3 IPS |
