MacBook Pro (13-inch, 2022)
Geekbench ML Score
9133
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 28 2025 06:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.26 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% |
3408
637.7 IPS |
|
|
Image Classification (F16)
|
100% |
9487
1.78 KIPS |
|
|
Image Classification (I8)
|
99% |
10448
1.96 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1254
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1425
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1704
28.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23424
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
85399
103.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
89878
108.8 IPS |
|
|
Object Detection (F32)
|
100% |
2824
210.9 IPS |
|
|
Object Detection (F16)
|
100% |
5529
412.8 IPS |
|
|
Object Detection (I8)
|
97% |
2008
149.9 IPS |
|
|
Face Detection (F32)
|
100% |
4130
49.1 IPS |
|
|
Face Detection (F16)
|
97% |
17097
203.3 IPS |
|
|
Face Detection (I8)
|
96% |
17996
214.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16332
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
61792
479.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
68596
532.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40766
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
143115
188.3 IPS |
|
|
Style Transfer (I8)
|
100% |
142410
187.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6816
243.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30004
1.07 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31418
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3390
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3569
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
847
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
854
15.7 IPS |
