MacBook Pro (13-inch, 2022)
Geekbench ML Score
9734
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 20 2025 06:17 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3379
632.4 IPS |
|
|
Image Classification (F16)
|
100% |
10424
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11226
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1327
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1829
30.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1592
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22772
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
94751
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97903
118.6 IPS |
|
|
Object Detection (F32)
|
100% |
2451
183.0 IPS |
|
|
Object Detection (F16)
|
100% |
4328
323.1 IPS |
|
|
Object Detection (I8)
|
97% |
2785
207.9 IPS |
|
|
Face Detection (F32)
|
100% |
8899
105.8 IPS |
|
|
Face Detection (F16)
|
97% |
19873
236.3 IPS |
|
|
Face Detection (I8)
|
96% |
18786
223.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15856
123.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
48275
374.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
53621
415.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40642
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
136732
179.9 IPS |
|
|
Style Transfer (I8)
|
100% |
134572
177.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9641
344.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34158
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32822
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
2148
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3613
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3603
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1080
19.9 IPS |
