MacBook Pro (13-inch, 2022)
Geekbench ML Score
3735
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 01 2025 05:48 PM |
| Views | 2 |
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 | 3.30 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% |
1251
234.2 IPS |
|
|
Image Classification (F16)
|
100% |
2212
414.0 IPS |
|
|
Image Classification (I8)
|
99% |
2306
431.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1165
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1077
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6316
7.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
12577
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13351
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1348
100.6 IPS |
|
|
Object Detection (F16)
|
100% |
2299
171.6 IPS |
|
|
Object Detection (I8)
|
97% |
1398
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5805
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5683
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5172
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10644
82.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10862
84.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18205
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28534
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27552
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4004
143.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5333
190.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5227
186.7 IPS |
|
|
Text Classification (F32)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3405
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3443
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1249
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1506
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1210
22.3 IPS |
