MacBook Pro (13-inch, 2022)
Geekbench ML Score
3615
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 01 2025 07:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.46 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% |
1340
250.8 IPS |
|
|
Image Classification (F16)
|
100% |
2293
429.1 IPS |
|
|
Image Classification (I8)
|
99% |
2322
434.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
781
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1025
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1135
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6587
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
13856
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12487
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1382
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
2311
172.6 IPS |
|
|
Object Detection (I8)
|
97% |
1368
102.1 IPS |
|
|
Face Detection (F32)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
5867
69.8 IPS |
|
|
Face Detection (I8)
|
97% |
5836
69.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5128
39.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10986
85.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10572
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16847
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
28602
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
22250
29.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3236
115.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3193
114.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4092
146.2 IPS |
|
|
Text Classification (F32)
|
100% |
1937
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3309
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3385
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1561
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1315
24.2 IPS |
