MacBook Pro (13-inch, 2022)
Geekbench ML Score
9635
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 03 2025 05:24 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.45 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% |
2842
531.8 IPS |
|
|
Image Classification (F16)
|
100% |
10776
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
11563
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1024
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1975
33.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1995
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21792
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94304
114.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
90788
109.9 IPS |
|
|
Object Detection (F32)
|
100% |
2753
205.5 IPS |
|
|
Object Detection (F16)
|
100% |
5350
399.4 IPS |
|
|
Object Detection (I8)
|
97% |
2853
213.0 IPS |
|
|
Face Detection (F32)
|
100% |
9402
111.8 IPS |
|
|
Face Detection (F16)
|
97% |
19975
237.5 IPS |
|
|
Face Detection (I8)
|
96% |
20234
240.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16029
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
56801
440.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
64243
498.2 IPS |
|
|
Style Transfer (F32)
|
100% |
35974
47.3 IPS |
|
|
Style Transfer (F16)
|
100% |
146028
192.1 IPS |
|
|
Style Transfer (I8)
|
100% |
133505
175.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5968
213.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35383
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33781
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2069
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3368
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3340
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
881
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
921
17.0 IPS |
