MacBook Pro (13-inch, 2022)
Geekbench ML Score
9486
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 19 2025 05:12 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.30 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% |
3277
613.3 IPS |
|
|
Image Classification (F16)
|
100% |
10103
1.89 KIPS |
|
|
Image Classification (I8)
|
99% |
11349
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1313
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1884
31.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1660
27.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22985
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94414
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
85179
103.1 IPS |
|
|
Object Detection (F32)
|
100% |
2337
174.5 IPS |
|
|
Object Detection (F16)
|
100% |
5203
388.4 IPS |
|
|
Object Detection (I8)
|
97% |
2818
210.4 IPS |
|
|
Face Detection (F32)
|
100% |
8769
104.3 IPS |
|
|
Face Detection (F16)
|
97% |
19195
228.2 IPS |
|
|
Face Detection (I8)
|
96% |
19171
227.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16022
124.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
45209
350.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
55316
429.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40735
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149455
196.6 IPS |
|
|
Style Transfer (I8)
|
100% |
148857
195.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6575
234.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32525
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32596
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3469
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3452
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
854
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
859
15.8 IPS |
