MacBook Pro (13-inch, 2022)
Geekbench ML Score
5227
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 06 2025 07:13 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.21 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% |
3422
640.3 IPS |
|
|
Image Classification (F16)
|
100% |
3086
577.4 IPS |
|
|
Image Classification (I8)
|
99% |
3172
593.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1087
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23004
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24952
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24905
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
2715
202.7 IPS |
|
|
Object Detection (F16)
|
100% |
2724
203.4 IPS |
|
|
Object Detection (I8)
|
97% |
2429
181.3 IPS |
|
|
Face Detection (F32)
|
100% |
7769
92.4 IPS |
|
|
Face Detection (F16)
|
98% |
7610
90.5 IPS |
|
|
Face Detection (I8)
|
97% |
10631
126.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16225
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11818
91.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17478
135.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40053
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47739
62.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47153
62.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6704
239.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6827
243.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7684
274.4 IPS |
|
|
Text Classification (F32)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
3291
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3369
4.84 KIPS |
|
|
Machine Translation (F32)
|
0% |
655
12.1 IPS |
|
|
Machine Translation (F16)
|
0% |
696
12.8 IPS |
|
|
Machine Translation (I8)
|
0% |
663
12.2 IPS |
