MacBook Pro (13-inch, 2022)
Geekbench ML Score
6056
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 05 2025 05:10 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3440
643.7 IPS |
|
|
Image Classification (F16)
|
100% |
3491
653.3 IPS |
|
|
Image Classification (I8)
|
99% |
3464
648.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1533
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1365
22.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1320
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22947
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25428
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25254
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (F16)
|
100% |
2901
216.6 IPS |
|
|
Object Detection (I8)
|
97% |
2825
210.9 IPS |
|
|
Face Detection (F32)
|
100% |
9028
107.3 IPS |
|
|
Face Detection (F16)
|
98% |
10636
126.5 IPS |
|
|
Face Detection (I8)
|
97% |
10688
127.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16141
125.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17743
137.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17650
136.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40043
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47944
63.1 IPS |
|
|
Style Transfer (I8)
|
100% |
48191
63.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8493
303.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9089
324.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8657
309.2 IPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3215
4.62 KIPS |
|
|
Text Classification (I8)
|
96% |
3229
4.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1022
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
952
17.5 IPS |
