MacBook Pro (13-inch, 2022)
Geekbench ML Score
9386
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 25 2025 07:20 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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% |
3410
638.1 IPS |
|
|
Image Classification (F16)
|
100% |
10697
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
10551
1.97 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1513
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1635
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1536
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
19602
23.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
70230
85.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
82552
100.0 IPS |
|
|
Object Detection (F32)
|
100% |
1977
147.6 IPS |
|
|
Object Detection (F16)
|
100% |
4471
333.8 IPS |
|
|
Object Detection (I8)
|
97% |
2003
149.5 IPS |
|
|
Face Detection (F32)
|
100% |
8911
106.0 IPS |
|
|
Face Detection (F16)
|
97% |
20122
239.3 IPS |
|
|
Face Detection (I8)
|
96% |
19349
230.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16072
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
47667
369.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
47978
372.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40716
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
148251
195.0 IPS |
|
|
Style Transfer (I8)
|
100% |
151103
198.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9874
352.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32285
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33303
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3596
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3630
5.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1043
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1324
24.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1086
20.0 IPS |
