MacBook Pro (13-inch, 2022)
Geekbench ML Score
3737
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 27 2025 06:37 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.46 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% |
1268
237.4 IPS |
|
|
Image Classification (F16)
|
100% |
2396
448.3 IPS |
|
|
Image Classification (I8)
|
99% |
2370
443.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1132
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1139
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5903
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
14212
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14288
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1297
96.8 IPS |
|
|
Object Detection (F16)
|
100% |
2310
172.5 IPS |
|
|
Object Detection (I8)
|
97% |
1362
101.7 IPS |
|
|
Face Detection (F32)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5535
65.8 IPS |
|
|
Face Detection (I8)
|
96% |
5882
69.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5463
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10414
80.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10578
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17671
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27533
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27585
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3803
135.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5030
179.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5352
191.1 IPS |
|
|
Text Classification (F32)
|
100% |
2117
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3406
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3486
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1182
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1260
23.2 IPS |
