MacBook Pro (13-inch, 2022)
Geekbench ML Score
9405
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 21 2025 04:54 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
3076
575.6 IPS |
|
|
Image Classification (F16)
|
100% |
10306
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
10883
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1408
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1878
31.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1857
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22705
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94694
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
96128
116.4 IPS |
|
|
Object Detection (F32)
|
100% |
1964
146.7 IPS |
|
|
Object Detection (F16)
|
100% |
6027
450.0 IPS |
|
|
Object Detection (I8)
|
97% |
2707
202.1 IPS |
|
|
Face Detection (F32)
|
100% |
6274
74.6 IPS |
|
|
Face Detection (F16)
|
97% |
19769
235.1 IPS |
|
|
Face Detection (I8)
|
96% |
20137
239.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15929
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
43202
335.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
44861
347.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40594
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
138487
182.2 IPS |
|
|
Style Transfer (I8)
|
100% |
145207
191.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6958
248.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30822
1.10 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34087
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3425
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3496
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
915
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
964
17.7 IPS |
