MacBook Pro (13-inch, 2022)
Geekbench ML Score
3640
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 18 2025 07:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1290
241.5 IPS |
|
|
Image Classification (F16)
|
100% |
2359
441.5 IPS |
|
|
Image Classification (I8)
|
99% |
2332
436.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
750
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
974
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1094
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5932
7.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
12214
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13615
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
889
66.4 IPS |
|
|
Object Detection (F16)
|
100% |
2277
170.0 IPS |
|
|
Object Detection (I8)
|
97% |
1344
100.3 IPS |
|
|
Face Detection (F32)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5736
68.2 IPS |
|
|
Face Detection (I8)
|
97% |
5036
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5415
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10852
84.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10124
78.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14670
19.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28332
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28513
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4101
146.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5081
181.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4412
157.6 IPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3558
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3555
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1586
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
