MacBook Pro (13-inch, 2022)
Geekbench ML Score
8771
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 28 2025 07:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.38 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% |
3059
572.5 IPS |
|
|
Image Classification (F16)
|
100% |
10585
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
11299
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1310
21.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1246
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
16307
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
81546
98.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
90045
109.0 IPS |
|
|
Object Detection (F32)
|
100% |
2702
201.7 IPS |
|
|
Object Detection (F16)
|
100% |
5065
378.1 IPS |
|
|
Object Detection (I8)
|
97% |
2623
195.8 IPS |
|
|
Face Detection (F32)
|
100% |
8600
102.3 IPS |
|
|
Face Detection (F16)
|
97% |
16481
196.0 IPS |
|
|
Face Detection (I8)
|
96% |
16563
196.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
14957
116.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
57159
443.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
59725
463.2 IPS |
|
|
Style Transfer (F32)
|
100% |
35350
46.5 IPS |
|
|
Style Transfer (F16)
|
100% |
143164
188.3 IPS |
|
|
Style Transfer (I8)
|
100% |
136301
179.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7624
272.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27492
981.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
31326
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3386
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
2919
4.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
838
15.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1127
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
817
15.0 IPS |
