MacBook Pro (13-inch, 2022)
Geekbench ML Score
3788
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 26 2025 08:55 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.47 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% |
1346
251.8 IPS |
|
|
Image Classification (F16)
|
100% |
2253
421.6 IPS |
|
|
Image Classification (I8)
|
99% |
2403
449.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1138
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6592
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
14303
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14366
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1232
92.0 IPS |
|
|
Object Detection (F16)
|
100% |
1956
146.1 IPS |
|
|
Object Detection (I8)
|
97% |
1362
101.7 IPS |
|
|
Face Detection (F32)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5777
68.7 IPS |
|
|
Face Detection (I8)
|
96% |
5674
67.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5520
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10766
83.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10873
84.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17701
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27914
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28167
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4100
146.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5240
187.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5127
183.1 IPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3442
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3441
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1329
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1657
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1397
25.7 IPS |
