MacBook Pro (13-inch, 2022)
Geekbench ML Score
3376
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2025 07:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.24 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% |
1322
247.3 IPS |
|
|
Image Classification (F16)
|
100% |
2223
416.0 IPS |
|
|
Image Classification (I8)
|
99% |
2222
415.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
729
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
990
16.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1037
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6423
7.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
14467
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14065
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1280
95.6 IPS |
|
|
Object Detection (F16)
|
100% |
2176
162.5 IPS |
|
|
Object Detection (I8)
|
97% |
1271
94.9 IPS |
|
|
Face Detection (F32)
|
100% |
2932
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5311
63.2 IPS |
|
|
Face Detection (I8)
|
96% |
5120
60.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5451
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10474
81.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10474
81.2 IPS |
|
|
Style Transfer (F32)
|
100% |
7225
9.50 IPS |
|
|
Style Transfer (F16)
|
100% |
11531
15.2 IPS |
|
|
Style Transfer (I8)
|
100% |
26337
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3833
136.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4952
176.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4601
164.3 IPS |
|
|
Text Classification (F32)
|
100% |
1927
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3283
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3040
4.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1213
22.3 IPS |
