MacBook Pro (13-inch, 2022)
Geekbench ML Score
9770
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 25 2025 06:31 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
3025
566.1 IPS |
|
|
Image Classification (F16)
|
100% |
10746
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
11274
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1469
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1922
32.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1754
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22834
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
90759
109.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
92421
111.9 IPS |
|
|
Object Detection (F32)
|
100% |
2822
210.7 IPS |
|
|
Object Detection (F16)
|
100% |
5228
390.3 IPS |
|
|
Object Detection (I8)
|
97% |
2760
206.0 IPS |
|
|
Face Detection (F32)
|
100% |
6928
82.4 IPS |
|
|
Face Detection (F16)
|
97% |
17384
206.7 IPS |
|
|
Face Detection (I8)
|
96% |
18092
215.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15971
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
64766
502.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
51486
399.3 IPS |
|
|
Style Transfer (F32)
|
100% |
39113
51.5 IPS |
|
|
Style Transfer (F16)
|
100% |
147660
194.2 IPS |
|
|
Style Transfer (I8)
|
100% |
143200
188.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7320
261.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34353
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35666
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2204
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3471
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3488
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1026
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1406
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1062
19.5 IPS |
