MacBook Pro (13-inch, 2022)
Geekbench ML Score
5699
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 06:40 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 3.48 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% |
3457
646.8 IPS |
|
|
Image Classification (F16)
|
100% |
3545
663.4 IPS |
|
|
Image Classification (I8)
|
99% |
3545
663.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1595
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1031
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23185
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25127
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25304
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
1910
142.6 IPS |
|
|
Object Detection (F16)
|
100% |
2813
210.0 IPS |
|
|
Object Detection (I8)
|
97% |
2813
210.0 IPS |
|
|
Face Detection (F32)
|
100% |
9468
112.6 IPS |
|
|
Face Detection (F16)
|
98% |
7912
94.1 IPS |
|
|
Face Detection (I8)
|
97% |
8649
102.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14599
113.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
15896
123.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17453
135.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40758
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47811
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47908
63.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7311
261.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10211
364.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8702
310.8 IPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1897
2.73 KIPS |
|
|
Text Classification (I8)
|
96% |
2132
3.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1098
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1133
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1111
20.4 IPS |
