MacBook Pro (13-inch, 2022)
Geekbench ML Score
4933
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 09:11 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.19 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% |
3337
624.5 IPS |
|
|
Image Classification (F16)
|
100% |
3424
640.7 IPS |
|
|
Image Classification (I8)
|
99% |
3012
563.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1046
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1103
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1092
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22337
27.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25363
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
23967
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2756
205.8 IPS |
|
|
Object Detection (F16)
|
100% |
2039
152.3 IPS |
|
|
Object Detection (I8)
|
97% |
1262
94.2 IPS |
|
|
Face Detection (F32)
|
100% |
8882
105.6 IPS |
|
|
Face Detection (F16)
|
98% |
10101
120.1 IPS |
|
|
Face Detection (I8)
|
97% |
6580
78.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12014
93.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13982
108.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
18028
139.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41014
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
43600
57.4 IPS |
|
|
Style Transfer (I8)
|
100% |
40396
53.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9189
328.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6478
231.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8343
298.0 IPS |
|
|
Text Classification (F32)
|
100% |
2120
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1361
1.96 KIPS |
|
|
Text Classification (I8)
|
96% |
1366
1.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
793
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
860
15.8 IPS |
