MacBook Pro (13-inch, 2022)
Geekbench ML Score
3399
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 30 2025 06:09 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.16 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% |
967
181.0 IPS |
|
|
Image Classification (F16)
|
100% |
2121
396.9 IPS |
|
|
Image Classification (I8)
|
99% |
2151
402.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
744
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
990
16.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
891
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4511
5.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
14176
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14113
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1224
91.4 IPS |
|
|
Object Detection (F16)
|
100% |
2338
174.5 IPS |
|
|
Object Detection (I8)
|
97% |
1157
86.4 IPS |
|
|
Face Detection (F32)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (F16)
|
97% |
4349
51.7 IPS |
|
|
Face Detection (I8)
|
96% |
5408
64.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4912
38.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9575
74.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10438
80.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16948
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26646
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25950
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3802
135.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5262
187.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4108
146.7 IPS |
|
|
Text Classification (F32)
|
100% |
1810
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
3335
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3396
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1485
27.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1130
20.8 IPS |
