MacBook Pro (13-inch, 2022)
Geekbench ML Score
9709
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 04:41 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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% |
3178
594.7 IPS |
|
|
Image Classification (F16)
|
100% |
10869
2.03 KIPS |
|
|
Image Classification (I8)
|
99% |
11916
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2003
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2015
33.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23407
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
84221
102.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
95025
115.1 IPS |
|
|
Object Detection (F32)
|
100% |
2802
209.2 IPS |
|
|
Object Detection (F16)
|
100% |
5389
402.3 IPS |
|
|
Object Detection (I8)
|
97% |
2813
210.0 IPS |
|
|
Face Detection (F32)
|
100% |
9023
107.3 IPS |
|
|
Face Detection (F16)
|
97% |
19618
233.3 IPS |
|
|
Face Detection (I8)
|
96% |
19953
237.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
14790
114.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
48212
373.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
58325
452.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41001
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
145236
191.0 IPS |
|
|
Style Transfer (I8)
|
100% |
123889
163.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7087
253.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34904
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34716
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2085
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3467
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3381
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
850
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1376
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
821
15.1 IPS |
