MacBook Pro (13-inch, 2022)
Geekbench ML Score
9092
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 10 2025 08:08 PM |
| Views | 7 |
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 | 3.46 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% |
3463
648.0 IPS |
|
|
Image Classification (F16)
|
100% |
10277
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
11210
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1001
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1780
29.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1571
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22649
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
83231
100.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
92672
112.2 IPS |
|
|
Object Detection (F32)
|
100% |
2002
149.4 IPS |
|
|
Object Detection (F16)
|
100% |
4829
360.5 IPS |
|
|
Object Detection (I8)
|
97% |
2691
200.9 IPS |
|
|
Face Detection (F32)
|
100% |
8854
105.3 IPS |
|
|
Face Detection (F16)
|
97% |
13703
162.9 IPS |
|
|
Face Detection (I8)
|
96% |
16610
197.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16019
124.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
60018
465.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
51638
400.4 IPS |
|
|
Style Transfer (F32)
|
100% |
35387
46.5 IPS |
|
|
Style Transfer (F16)
|
100% |
145011
190.7 IPS |
|
|
Style Transfer (I8)
|
100% |
145728
191.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6825
243.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33665
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32937
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
2096
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3546
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3544
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
760
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1374
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
730
13.4 IPS |
