MacBook Pro (13-inch, 2022)
Geekbench ML Score
9294
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 07:47 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3027
566.3 IPS |
|
|
Image Classification (F16)
|
100% |
10159
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
10961
2.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1329
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1888
31.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1571
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23048
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94607
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96349
116.7 IPS |
|
|
Object Detection (F32)
|
100% |
1519
113.4 IPS |
|
|
Object Detection (F16)
|
100% |
4146
309.6 IPS |
|
|
Object Detection (I8)
|
97% |
2092
156.2 IPS |
|
|
Face Detection (F32)
|
100% |
8932
106.2 IPS |
|
|
Face Detection (F16)
|
97% |
20096
238.9 IPS |
|
|
Face Detection (I8)
|
96% |
18088
215.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15842
122.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
59266
459.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
64111
497.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40976
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
133182
175.2 IPS |
|
|
Style Transfer (I8)
|
100% |
136924
180.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7270
259.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32980
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34476
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2095
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3385
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3395
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
851
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
874
16.1 IPS |
