MacBook Pro (13-inch, 2022)
Geekbench ML Score
9004
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 04:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 3.24 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% |
3379
632.3 IPS |
|
|
Image Classification (F16)
|
100% |
10231
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
9048
1.69 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1501
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1878
31.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1860
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22697
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
68546
83.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
67358
81.6 IPS |
|
|
Object Detection (F32)
|
100% |
1530
114.2 IPS |
|
|
Object Detection (F16)
|
100% |
4895
365.5 IPS |
|
|
Object Detection (I8)
|
97% |
1581
118.1 IPS |
|
|
Face Detection (F32)
|
100% |
8825
104.9 IPS |
|
|
Face Detection (F16)
|
97% |
20054
238.4 IPS |
|
|
Face Detection (I8)
|
96% |
18953
225.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16687
129.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
45175
350.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
42026
325.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39904
52.5 IPS |
|
|
Style Transfer (F16)
|
100% |
132557
174.4 IPS |
|
|
Style Transfer (I8)
|
100% |
139734
183.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8283
295.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25725
918.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
33436
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3470
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3506
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1019
18.8 IPS |
