MacBook Pro (13-inch, 2022)
Geekbench ML Score
5405
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 10 2025 08:41 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.10 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3498
654.5 IPS |
|
|
Image Classification (F16)
|
100% |
3526
659.8 IPS |
|
|
Image Classification (I8)
|
99% |
3471
649.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1383
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1416
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1411
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23610
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25549
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
21474
26.0 IPS |
|
|
Object Detection (F32)
|
100% |
1110
82.8 IPS |
|
|
Object Detection (F16)
|
100% |
2144
160.1 IPS |
|
|
Object Detection (I8)
|
97% |
2134
159.3 IPS |
|
|
Face Detection (F32)
|
100% |
9307
110.7 IPS |
|
|
Face Detection (F16)
|
98% |
10796
128.4 IPS |
|
|
Face Detection (I8)
|
97% |
7859
93.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16385
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17992
139.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17999
139.6 IPS |
|
|
Style Transfer (F32)
|
100% |
34230
45.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24271
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
38326
50.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7621
272.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7869
281.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7741
276.4 IPS |
|
|
Text Classification (F32)
|
100% |
2000
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
932
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
984
18.1 IPS |
|
|
Machine Translation (I8)
|
99% |
927
17.1 IPS |
