MacBook Pro (13-inch, 2022)
Geekbench ML Score
9575
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2025 06:57 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3486
652.3 IPS |
|
|
Image Classification (F16)
|
100% |
11368
2.13 KIPS |
|
|
Image Classification (I8)
|
99% |
12549
2.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1310
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1999
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23045
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93341
113.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
95328
115.4 IPS |
|
|
Object Detection (F32)
|
100% |
1915
143.0 IPS |
|
|
Object Detection (F16)
|
100% |
5248
391.8 IPS |
|
|
Object Detection (I8)
|
97% |
2741
204.6 IPS |
|
|
Face Detection (F32)
|
100% |
9025
107.3 IPS |
|
|
Face Detection (F16)
|
97% |
17841
212.1 IPS |
|
|
Face Detection (I8)
|
96% |
17741
210.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15959
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
51296
397.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
67608
524.3 IPS |
|
|
Style Transfer (F32)
|
100% |
34355
45.2 IPS |
|
|
Style Transfer (F16)
|
100% |
146524
192.7 IPS |
|
|
Style Transfer (I8)
|
100% |
141503
186.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6969
248.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32774
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36460
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2031
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3438
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1405
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
781
14.4 IPS |
