MacBook Pro (13-inch, 2022)
Geekbench ML Score
9746
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 02 2025 06:09 PM |
| Views | 2 |
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% |
3432
642.2 IPS |
|
|
Image Classification (F16)
|
100% |
10420
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11432
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1578
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1999
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1627
27.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23166
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94731
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
96830
117.3 IPS |
|
|
Object Detection (F32)
|
100% |
1591
118.8 IPS |
|
|
Object Detection (F16)
|
100% |
4868
363.4 IPS |
|
|
Object Detection (I8)
|
97% |
2101
156.9 IPS |
|
|
Face Detection (F32)
|
100% |
8944
106.3 IPS |
|
|
Face Detection (F16)
|
97% |
18863
224.3 IPS |
|
|
Face Detection (I8)
|
96% |
18764
223.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16125
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
45932
356.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
63787
494.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39902
52.5 IPS |
|
|
Style Transfer (F16)
|
100% |
149477
196.6 IPS |
|
|
Style Transfer (I8)
|
100% |
149324
196.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8227
293.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34867
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34597
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2155
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3564
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3576
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1107
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1427
26.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1113
20.5 IPS |
