MacBook Pro (13-inch, 2022)
Geekbench ML Score
4767
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 17 2025 10:42 AM |
| Views | 3 |
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 | 3.38 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% |
2481
464.3 IPS |
|
|
Image Classification (F16)
|
100% |
2483
464.7 IPS |
|
|
Image Classification (I8)
|
99% |
2579
482.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1132
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1289
21.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1098
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
20977
25.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
23539
28.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
20864
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
1168
87.2 IPS |
|
|
Object Detection (F16)
|
100% |
1950
145.6 IPS |
|
|
Object Detection (I8)
|
97% |
1351
100.9 IPS |
|
|
Face Detection (F32)
|
100% |
7590
90.2 IPS |
|
|
Face Detection (F16)
|
98% |
8790
104.5 IPS |
|
|
Face Detection (I8)
|
97% |
8916
106.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9448
73.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14872
115.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
14998
116.3 IPS |
|
|
Style Transfer (F32)
|
100% |
35564
46.8 IPS |
|
|
Style Transfer (F16)
|
100% |
36199
47.6 IPS |
|
|
Style Transfer (I8)
|
100% |
24914
32.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5936
212.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8973
320.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7085
253.0 IPS |
|
|
Text Classification (F32)
|
100% |
2007
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3370
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
919
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
991
18.2 IPS |
|
|
Machine Translation (I8)
|
99% |
875
16.1 IPS |
