MacBook Pro (13-inch, 2022)
Geekbench ML Score
3676
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 09:11 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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% |
1318
246.6 IPS |
|
|
Image Classification (F16)
|
100% |
2420
452.9 IPS |
|
|
Image Classification (I8)
|
99% |
2321
434.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
766
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
964
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1141
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6529
7.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
13926
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10599
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1142
85.2 IPS |
|
|
Object Detection (F16)
|
100% |
1903
142.1 IPS |
|
|
Object Detection (I8)
|
97% |
1136
84.8 IPS |
|
|
Face Detection (F32)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5667
67.4 IPS |
|
|
Face Detection (I8)
|
97% |
5743
68.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5757
44.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11685
90.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11676
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17205
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27735
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27966
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4220
150.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4865
173.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4852
173.3 IPS |
|
|
Text Classification (F32)
|
100% |
1988
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3409
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3135
4.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1571
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1339
24.6 IPS |
