MacBook Pro (13-inch, 2022)
Geekbench ML Score
9913
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 14 2025 06:15 PM |
| Views | 5 |
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% |
3419
639.8 IPS |
|
|
Image Classification (F16)
|
100% |
10477
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11157
2.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1469
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1958
32.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2012
33.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23037
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94596
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96748
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2856
213.2 IPS |
|
|
Object Detection (F16)
|
100% |
5685
424.4 IPS |
|
|
Object Detection (I8)
|
97% |
2891
215.8 IPS |
|
|
Face Detection (F32)
|
100% |
9077
107.9 IPS |
|
|
Face Detection (F16)
|
97% |
19778
235.2 IPS |
|
|
Face Detection (I8)
|
96% |
20052
238.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16243
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
49642
385.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
52986
410.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40993
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
144257
189.8 IPS |
|
|
Style Transfer (I8)
|
100% |
150297
197.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7278
259.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34217
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35001
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2136
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3375
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3505
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
882
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1430
26.3 IPS |
|
|
Machine Translation (I8)
|
99% |
887
16.3 IPS |
