MacBook Pro (13-inch, 2022)
Geekbench ML Score
2497
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 02 2024 09:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 1.94 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% |
874
163.6 IPS |
|
|
Image Classification (F16)
|
100% |
1511
282.8 IPS |
|
|
Image Classification (I8)
|
99% |
1523
285.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
643
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
846
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
847
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4068
4.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
8945
10.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8909
10.8 IPS |
|
|
Object Detection (F32)
|
100% |
938
70.0 IPS |
|
|
Object Detection (F16)
|
100% |
1512
112.9 IPS |
|
|
Object Detection (I8)
|
97% |
931
69.5 IPS |
|
|
Face Detection (F32)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (F16)
|
97% |
3624
43.1 IPS |
|
|
Face Detection (I8)
|
97% |
3679
43.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3529
27.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7181
55.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7245
56.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11240
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
17230
22.7 IPS |
|
|
Style Transfer (I8)
|
100% |
17118
22.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2710
96.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3153
112.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3165
113.0 IPS |
|
|
Text Classification (F32)
|
100% |
1363
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
2202
3.17 KIPS |
|
|
Text Classification (I8)
|
96% |
2206
3.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
842
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
981
18.1 IPS |
|
|
Machine Translation (I8)
|
99% |
839
15.4 IPS |
