MacBook Pro (13-inch, 2022)
Geekbench ML Score
9362
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 14 2025 06:30 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.48 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2451
458.6 IPS |
|
|
Image Classification (F16)
|
100% |
10492
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11472
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1496
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1871
31.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1638
27.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23131
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
94256
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96535
116.9 IPS |
|
|
Object Detection (F32)
|
100% |
2129
158.9 IPS |
|
|
Object Detection (F16)
|
100% |
4921
367.4 IPS |
|
|
Object Detection (I8)
|
97% |
1779
132.8 IPS |
|
|
Face Detection (F32)
|
100% |
6824
81.1 IPS |
|
|
Face Detection (F16)
|
97% |
19776
235.1 IPS |
|
|
Face Detection (I8)
|
96% |
18790
223.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16709
129.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
67024
519.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
49134
381.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40940
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
135983
178.9 IPS |
|
|
Style Transfer (I8)
|
100% |
140358
184.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7761
277.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32793
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35611
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
1805
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
3408
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3400
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1045
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1113
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1086
20.0 IPS |
