MacBook Pro (13-inch, 2022)
Geekbench ML Score
9742
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 16 2025 06:31 PM |
| Views | 5 |
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% |
3435
642.8 IPS |
|
|
Image Classification (F16)
|
100% |
10257
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
11276
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1346
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1996
33.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2048
34.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23155
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
94859
114.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
97836
118.5 IPS |
|
|
Object Detection (F32)
|
100% |
2813
210.0 IPS |
|
|
Object Detection (F16)
|
100% |
5211
389.0 IPS |
|
|
Object Detection (I8)
|
97% |
2773
207.0 IPS |
|
|
Face Detection (F32)
|
100% |
8970
106.7 IPS |
|
|
Face Detection (F16)
|
97% |
18525
220.3 IPS |
|
|
Face Detection (I8)
|
96% |
18880
224.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16198
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
46625
361.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
49576
384.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40536
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
137925
181.4 IPS |
|
|
Style Transfer (I8)
|
100% |
147107
193.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7529
268.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34107
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34797
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3459
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1426
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
874
16.1 IPS |
