MacBook Pro (13-inch, 2022)
Geekbench ML Score
9824
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 19 2025 06:22 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% |
3345
626.0 IPS |
|
|
Image Classification (F16)
|
100% |
10211
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
11138
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1386
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1923
32.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1947
32.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23005
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
92702
112.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96068
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
2832
211.4 IPS |
|
|
Object Detection (F16)
|
100% |
5371
401.0 IPS |
|
|
Object Detection (I8)
|
97% |
2761
206.1 IPS |
|
|
Face Detection (F32)
|
100% |
8960
106.5 IPS |
|
|
Face Detection (F16)
|
97% |
19293
229.4 IPS |
|
|
Face Detection (I8)
|
96% |
19861
236.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15883
123.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
49474
383.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
45087
349.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41107
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
148167
194.9 IPS |
|
|
Style Transfer (I8)
|
100% |
148496
195.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9856
352.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33148
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36001
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3444
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3446
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
871
16.0 IPS |
