MacBook Pro (13-inch, 2022)
Geekbench ML Score
3826
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 09:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 3.41 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% |
1300
243.3 IPS |
|
|
Image Classification (F16)
|
100% |
2391
447.4 IPS |
|
|
Image Classification (I8)
|
99% |
2384
446.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
846
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1115
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
986
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6285
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
13939
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13991
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1430
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
2483
185.4 IPS |
|
|
Object Detection (I8)
|
97% |
1438
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
5926
70.5 IPS |
|
|
Face Detection (I8)
|
97% |
5738
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5518
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11149
86.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11618
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18005
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27122
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26975
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4206
150.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5040
180.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5049
180.3 IPS |
|
|
Text Classification (F32)
|
100% |
1995
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3329
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3386
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1361
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1646
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
