MacBook Pro (13-inch, 2022)
Geekbench ML Score
3837
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 01 2025 07:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.47 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% |
1374
257.2 IPS |
|
|
Image Classification (F16)
|
100% |
2417
452.3 IPS |
|
|
Image Classification (I8)
|
99% |
2426
454.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
878
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1139
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1140
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6595
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14268
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12388
15.0 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
2235
166.9 IPS |
|
|
Object Detection (I8)
|
97% |
1456
108.7 IPS |
|
|
Face Detection (F32)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (F16)
|
97% |
5535
65.8 IPS |
|
|
Face Detection (I8)
|
97% |
5677
67.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5737
44.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11653
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11310
87.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17306
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27258
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27735
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4172
149.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4966
177.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4898
174.9 IPS |
|
|
Text Classification (F32)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3361
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3370
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1351
24.9 IPS |
