MacBook Pro (13-inch, 2022)
Geekbench ML Score
9936
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2025 07:43 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.46 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% |
3286
614.9 IPS |
|
|
Image Classification (F16)
|
100% |
12235
2.29 KIPS |
|
|
Image Classification (I8)
|
99% |
12456
2.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1248
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1903
31.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1935
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22750
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94951
115.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
98869
119.7 IPS |
|
|
Object Detection (F32)
|
100% |
2885
215.4 IPS |
|
|
Object Detection (F16)
|
100% |
5401
403.2 IPS |
|
|
Object Detection (I8)
|
97% |
2865
213.9 IPS |
|
|
Face Detection (F32)
|
100% |
9043
107.5 IPS |
|
|
Face Detection (F16)
|
97% |
19945
237.1 IPS |
|
|
Face Detection (I8)
|
96% |
20046
238.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15887
123.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
52386
406.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
69079
535.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41065
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
140486
184.8 IPS |
|
|
Style Transfer (I8)
|
100% |
150236
197.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6956
248.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33444
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37578
1.34 KIPS |
|
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3507
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3584
5.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
857
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1372
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
772
14.2 IPS |
