MacBook Pro (13-inch, 2022)
Geekbench ML Score
3401
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 06 2025 03:15 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
1136
212.7 IPS |
|
|
Image Classification (F16)
|
100% |
2187
409.3 IPS |
|
|
Image Classification (I8)
|
99% |
1868
349.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
910
15.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
961
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4695
5.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
12420
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12875
15.6 IPS |
|
|
Object Detection (F32)
|
100% |
1254
93.6 IPS |
|
|
Object Detection (F16)
|
100% |
2159
161.2 IPS |
|
|
Object Detection (I8)
|
97% |
1299
97.0 IPS |
|
|
Face Detection (F32)
|
100% |
2739
32.6 IPS |
|
|
Face Detection (F16)
|
97% |
5523
65.7 IPS |
|
|
Face Detection (I8)
|
96% |
5458
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5036
39.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9994
77.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9796
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15974
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28246
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28257
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3614
129.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4948
176.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4547
162.4 IPS |
|
|
Text Classification (F32)
|
100% |
1955
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
2019
2.90 KIPS |
|
|
Text Classification (I8)
|
96% |
2862
4.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1301
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1602
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1332
24.5 IPS |
