MacBook Pro (13-inch, 2022)
Geekbench ML Score
9799
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 07:39 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
3041
569.1 IPS |
|
|
Image Classification (F16)
|
100% |
10702
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11747
2.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1513
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1600
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1994
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23086
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93456
113.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96435
116.8 IPS |
|
|
Object Detection (F32)
|
100% |
2215
165.4 IPS |
|
|
Object Detection (F16)
|
100% |
5216
389.4 IPS |
|
|
Object Detection (I8)
|
97% |
2781
207.6 IPS |
|
|
Face Detection (F32)
|
100% |
8951
106.4 IPS |
|
|
Face Detection (F16)
|
97% |
19594
233.0 IPS |
|
|
Face Detection (I8)
|
96% |
20142
239.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15166
117.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
58599
454.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
48499
376.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40415
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
145120
190.9 IPS |
|
|
Style Transfer (I8)
|
100% |
140812
185.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9252
330.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32674
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34927
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2063
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3326
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3317
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1394
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1018
18.7 IPS |
