MacBook Pro (13-inch, 2022)
Geekbench ML Score
3842
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 17 2026 08:54 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5053d) |
| 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 | 3.23 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% |
986
184.5 IPS |
|
|
Image Classification (F16)
|
100% |
2303
431.0 IPS |
|
|
Image Classification (I8)
|
99% |
2304
431.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
714
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1065
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5700
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
14127
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14085
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1321
98.6 IPS |
|
|
Object Detection (F16)
|
100% |
2435
181.8 IPS |
|
|
Object Detection (I8)
|
97% |
1319
98.5 IPS |
|
|
Face Detection (F32)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
5736
68.2 IPS |
|
|
Face Detection (I8)
|
96% |
5729
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5130
39.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10609
82.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10833
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17175
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28429
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27829
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3774
134.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5135
183.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5194
185.5 IPS |
|
|
Text Classification (F32)
|
100% |
3353
4.82 KIPS |
|
|
Text Classification (F16)
|
100% |
4846
6.96 KIPS |
|
|
Text Classification (I8)
|
96% |
5192
7.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1580
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1278
23.5 IPS |
