MacBook Pro (13-inch, 2022)
Geekbench ML Score
9964
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 06:09 PM |
| Views | 6 |
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 | 3.47 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% |
3534
661.3 IPS |
|
|
Image Classification (F16)
|
100% |
10931
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11842
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1930
32.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1732
28.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23360
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
92856
112.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
96724
117.1 IPS |
|
|
Object Detection (F32)
|
100% |
2819
210.4 IPS |
|
|
Object Detection (F16)
|
100% |
5944
443.8 IPS |
|
|
Object Detection (I8)
|
97% |
2745
204.9 IPS |
|
|
Face Detection (F32)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (F16)
|
97% |
16694
198.5 IPS |
|
|
Face Detection (I8)
|
96% |
18008
214.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16538
128.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
47726
370.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
71276
552.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39523
52.0 IPS |
|
|
Style Transfer (F16)
|
100% |
143149
188.3 IPS |
|
|
Style Transfer (I8)
|
100% |
140567
184.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9757
348.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32929
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33717
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3301
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3375
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1334
24.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1056
19.4 IPS |
