MacBook Pro (13-inch, 2022)
Geekbench ML Score
9220
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2025 08:05 PM |
| Views | 3 |
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 | 3.47 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% |
3403
636.8 IPS |
|
|
Image Classification (F16)
|
100% |
10553
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
11098
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1233
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1846
30.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1377
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22835
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
76532
92.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
68869
83.4 IPS |
|
|
Object Detection (F32)
|
100% |
2608
194.7 IPS |
|
|
Object Detection (F16)
|
100% |
5098
380.6 IPS |
|
|
Object Detection (I8)
|
97% |
2866
214.0 IPS |
|
|
Face Detection (F32)
|
100% |
8884
105.6 IPS |
|
|
Face Detection (F16)
|
97% |
19686
234.1 IPS |
|
|
Face Detection (I8)
|
96% |
19621
233.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15849
122.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
45675
354.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
47031
364.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40524
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
143283
188.5 IPS |
|
|
Style Transfer (I8)
|
100% |
149644
196.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7427
265.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32840
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33966
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2117
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3515
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3012
4.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
758
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1421
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
753
13.9 IPS |
