MacBook Pro (13-inch, 2022)
Geekbench ML Score
6103
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 29 2026 05:45 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
3412
638.4 IPS |
|
|
Image Classification (F16)
|
100% |
3156
590.6 IPS |
|
|
Image Classification (I8)
|
99% |
3549
664.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1622
27.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1080
18.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1559
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23264
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25508
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
21357
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
2786
208.0 IPS |
|
|
Object Detection (F16)
|
100% |
2916
217.7 IPS |
|
|
Object Detection (I8)
|
97% |
2826
211.0 IPS |
|
|
Face Detection (F32)
|
100% |
9786
116.4 IPS |
|
|
Face Detection (F16)
|
98% |
8397
99.8 IPS |
|
|
Face Detection (I8)
|
97% |
5644
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16094
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17510
135.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17585
136.4 IPS |
|
|
Style Transfer (F32)
|
100% |
36898
48.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47958
63.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47691
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7537
269.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4151
148.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8664
309.4 IPS |
|
|
Text Classification (F32)
|
100% |
3907
5.62 KIPS |
|
|
Text Classification (F16)
|
100% |
6037
8.68 KIPS |
|
|
Text Classification (I8)
|
96% |
6193
8.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1191
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1161
21.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1143
21.0 IPS |
