MacBook Pro (13-inch, 2022)
Geekbench ML Score
3755
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 20 2025 09:36 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.44 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1266
236.9 IPS |
|
|
Image Classification (F16)
|
100% |
2304
431.1 IPS |
|
|
Image Classification (I8)
|
99% |
2179
407.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
973
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1080
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6506
7.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
14243
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14305
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1332
99.5 IPS |
|
|
Object Detection (F16)
|
100% |
2303
171.9 IPS |
|
|
Object Detection (I8)
|
97% |
1334
99.6 IPS |
|
|
Face Detection (F32)
|
100% |
2990
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5678
67.5 IPS |
|
|
Face Detection (I8)
|
96% |
5688
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5488
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10743
83.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10467
81.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17493
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28359
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28293
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4151
148.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5029
179.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5022
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
2132
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3520
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3515
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1570
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1367
25.2 IPS |
