MacBook Pro (13-inch, 2022)
Geekbench ML Score
9694
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 27 2025 06:46 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.48 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% |
3323
621.9 IPS |
|
|
Image Classification (F16)
|
100% |
10388
1.94 KIPS |
|
|
Image Classification (I8)
|
99% |
11214
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1672
27.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1972
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22119
26.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
93362
113.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96798
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2642
197.2 IPS |
|
|
Object Detection (F16)
|
100% |
5216
389.4 IPS |
|
|
Object Detection (I8)
|
97% |
2067
154.3 IPS |
|
|
Face Detection (F32)
|
100% |
4523
53.8 IPS |
|
|
Face Detection (F16)
|
97% |
20425
242.9 IPS |
|
|
Face Detection (I8)
|
96% |
20358
242.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14407
111.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
66630
516.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
64749
502.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39951
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149743
197.0 IPS |
|
|
Style Transfer (I8)
|
100% |
140513
184.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7870
281.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35651
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35151
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3499
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3484
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
924
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1078
19.8 IPS |
