MacBook Pro (13-inch, 2022)
Geekbench ML Score
3724
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 06:09 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
1331
249.1 IPS |
|
|
Image Classification (F16)
|
100% |
2383
445.9 IPS |
|
|
Image Classification (I8)
|
99% |
2334
436.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
717
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
892
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1104
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6488
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14088
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14244
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1345
100.4 IPS |
|
|
Object Detection (F16)
|
100% |
2290
170.9 IPS |
|
|
Object Detection (I8)
|
97% |
1337
99.8 IPS |
|
|
Face Detection (F32)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5732
68.2 IPS |
|
|
Face Detection (I8)
|
97% |
5664
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5447
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11028
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10359
80.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16114
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
28320
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28408
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4092
146.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4832
172.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5018
179.2 IPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3400
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3388
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1245
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1578
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1363
25.1 IPS |
