MacBook Pro (13-inch, 2022)
Geekbench ML Score
9613
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 03 2025 06:41 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
3505
655.9 IPS |
|
|
Image Classification (F16)
|
100% |
10967
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11523
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1327
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1845
30.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1563
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
15736
19.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
88707
107.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97106
117.6 IPS |
|
|
Object Detection (F32)
|
100% |
2825
210.9 IPS |
|
|
Object Detection (F16)
|
100% |
6269
468.0 IPS |
|
|
Object Detection (I8)
|
97% |
2093
156.3 IPS |
|
|
Face Detection (F32)
|
100% |
8839
105.1 IPS |
|
|
Face Detection (F16)
|
97% |
17647
209.8 IPS |
|
|
Face Detection (I8)
|
96% |
15729
187.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10825
83.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
61585
477.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
68782
533.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41037
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
151122
198.8 IPS |
|
|
Style Transfer (I8)
|
100% |
131663
173.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8329
297.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36667
1.31 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37422
1.34 KIPS |
|
|
Text Classification (F32)
|
100% |
2077
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3479
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3497
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
971
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1000
18.4 IPS |
