MacBook Pro (13-inch, 2022)
Geekbench ML Score
3785
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 06:43 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
1260
235.8 IPS |
|
|
Image Classification (F16)
|
100% |
2412
451.3 IPS |
|
|
Image Classification (I8)
|
99% |
2388
446.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1133
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1128
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5937
7.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
14237
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14288
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1294
96.6 IPS |
|
|
Object Detection (F16)
|
100% |
2304
172.0 IPS |
|
|
Object Detection (I8)
|
97% |
1339
100.0 IPS |
|
|
Face Detection (F32)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5734
68.2 IPS |
|
|
Face Detection (I8)
|
96% |
5886
70.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5364
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10452
81.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10666
82.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17605
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27642
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27723
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3831
136.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5004
178.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5195
185.5 IPS |
|
|
Text Classification (F32)
|
100% |
2157
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3511
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3511
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1369
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1642
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1350
24.9 IPS |
