MacBook Pro (13-inch, 2022)
Geekbench ML Score
3688
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2025 08:04 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.46 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% |
1318
246.7 IPS |
|
|
Image Classification (F16)
|
100% |
2173
406.6 IPS |
|
|
Image Classification (I8)
|
99% |
2198
411.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
551
9.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1080
18.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
987
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6089
7.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
13365
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13096
15.9 IPS |
|
|
Object Detection (F32)
|
100% |
1443
107.7 IPS |
|
|
Object Detection (F16)
|
100% |
2369
176.9 IPS |
|
|
Object Detection (I8)
|
97% |
1421
106.1 IPS |
|
|
Face Detection (F32)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5321
63.3 IPS |
|
|
Face Detection (I8)
|
97% |
5788
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5605
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11504
89.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11110
86.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17757
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27660
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26884
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4067
145.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4976
177.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4880
174.3 IPS |
|
|
Text Classification (F32)
|
100% |
2093
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3430
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3461
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1274
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1449
26.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1327
24.4 IPS |
