MacBook Pro (13-inch, 2022)
Geekbench ML Score
3652
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 07:04 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
1340
250.8 IPS |
|
|
Image Classification (F16)
|
100% |
2313
432.7 IPS |
|
|
Image Classification (I8)
|
99% |
1977
370.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
931
15.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1099
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6204
7.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
13979
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14254
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1302
97.2 IPS |
|
|
Object Detection (F16)
|
100% |
2294
171.3 IPS |
|
|
Object Detection (I8)
|
97% |
1368
102.2 IPS |
|
|
Face Detection (F32)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (F16)
|
97% |
5703
67.8 IPS |
|
|
Face Detection (I8)
|
97% |
4671
55.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5029
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9816
76.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10416
80.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17425
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28381
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28183
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4075
145.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5078
181.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4969
177.5 IPS |
|
|
Text Classification (F32)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3447
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3100
4.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1594
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1360
25.0 IPS |
