MacBook Pro (13-inch, 2022)
Geekbench ML Score
9668
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 04 2025 07:21 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% |
3363
629.3 IPS |
|
|
Image Classification (F16)
|
100% |
10714
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
10311
1.93 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1380
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1839
30.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1969
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23119
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
77203
93.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
95757
116.0 IPS |
|
|
Object Detection (F32)
|
100% |
2827
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
4884
364.6 IPS |
|
|
Object Detection (I8)
|
97% |
2900
216.5 IPS |
|
|
Face Detection (F32)
|
100% |
9158
108.9 IPS |
|
|
Face Detection (F16)
|
97% |
18598
221.1 IPS |
|
|
Face Detection (I8)
|
96% |
18496
219.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16046
124.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
48102
373.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
56257
436.3 IPS |
|
|
Style Transfer (F32)
|
100% |
39691
52.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148733
195.6 IPS |
|
|
Style Transfer (I8)
|
100% |
146144
192.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7910
282.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35097
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35271
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2031
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3537
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
881
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1301
23.9 IPS |
|
|
Machine Translation (I8)
|
99% |
858
15.8 IPS |
