MacBook Pro (13-inch, 2022)
Geekbench ML Score
3448
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 05 2025 06:37 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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% |
1274
238.5 IPS |
|
|
Image Classification (F16)
|
100% |
2274
425.5 IPS |
|
|
Image Classification (I8)
|
99% |
2283
427.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
719
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
937
15.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1056
17.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6477
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
14337
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14463
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1222
91.3 IPS |
|
|
Object Detection (F16)
|
100% |
2230
166.5 IPS |
|
|
Object Detection (I8)
|
97% |
1041
77.8 IPS |
|
|
Face Detection (F32)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
5172
61.5 IPS |
|
|
Face Detection (I8)
|
97% |
4997
59.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5199
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10356
80.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10679
82.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17322
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
23798
31.3 IPS |
|
|
Style Transfer (I8)
|
100% |
21168
27.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3895
139.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5069
181.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4003
143.0 IPS |
|
|
Text Classification (F32)
|
100% |
1731
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
3389
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3047
4.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1290
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1059
19.5 IPS |
