MacBook Pro (13-inch, 2022)
Geekbench ML Score
9647
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 15 2025 05:52 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.30 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% |
3454
646.4 IPS |
|
|
Image Classification (F16)
|
100% |
10275
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
11344
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1260
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1934
32.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1954
32.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23185
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
96172
116.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
97003
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
2820
210.5 IPS |
|
|
Object Detection (F16)
|
100% |
5234
390.7 IPS |
|
|
Object Detection (I8)
|
97% |
2827
211.0 IPS |
|
|
Face Detection (F32)
|
100% |
8834
105.0 IPS |
|
|
Face Detection (F16)
|
97% |
17241
205.0 IPS |
|
|
Face Detection (I8)
|
96% |
16508
196.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16320
126.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
54642
423.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
61329
475.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40682
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
138705
182.5 IPS |
|
|
Style Transfer (I8)
|
100% |
143513
188.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8766
313.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33998
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34732
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3330
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3376
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
792
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1256
23.1 IPS |
|
|
Machine Translation (I8)
|
99% |
731
13.4 IPS |
