MacBook Pro (13-inch, 2022)
Geekbench ML Score
3782
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 19 2025 05:03 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.48 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% |
1369
256.2 IPS |
|
|
Image Classification (F16)
|
100% |
1972
369.0 IPS |
|
|
Image Classification (I8)
|
99% |
2331
436.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
770
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1107
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1103
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6462
7.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
14477
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14539
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
2322
173.4 IPS |
|
|
Object Detection (I8)
|
97% |
1420
106.0 IPS |
|
|
Face Detection (F32)
|
100% |
2990
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5390
64.1 IPS |
|
|
Face Detection (I8)
|
97% |
5302
63.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5511
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10995
85.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10584
82.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17402
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28391
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28379
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4082
145.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5102
182.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5083
181.5 IPS |
|
|
Text Classification (F32)
|
100% |
2060
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3484
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1625
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1366
25.1 IPS |
