MacBook Pro (13-inch, 2022)
Geekbench ML Score
9469
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 18 2025 07:55 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3414
638.9 IPS |
|
|
Image Classification (F16)
|
100% |
9947
1.86 KIPS |
|
|
Image Classification (I8)
|
99% |
11540
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1276
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1930
32.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1902
31.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22701
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
95654
115.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
97166
117.7 IPS |
|
|
Object Detection (F32)
|
100% |
2852
212.9 IPS |
|
|
Object Detection (F16)
|
100% |
5351
399.5 IPS |
|
|
Object Detection (I8)
|
97% |
2823
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
8917
106.0 IPS |
|
|
Face Detection (F16)
|
97% |
19216
228.5 IPS |
|
|
Face Detection (I8)
|
96% |
19875
236.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15945
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
42964
333.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
42708
331.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40414
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
146413
192.6 IPS |
|
|
Style Transfer (I8)
|
100% |
146668
192.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6335
226.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32704
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34006
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3330
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3457
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
775
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
744
13.7 IPS |
