MacBook Pro (13-inch, 2022)
Geekbench ML Score
9554
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 30 2025 06:58 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.47 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% |
3120
583.9 IPS |
|
|
Image Classification (F16)
|
100% |
10632
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11341
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1360
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1673
27.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1934
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22524
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
94196
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96970
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
1935
144.4 IPS |
|
|
Object Detection (F16)
|
100% |
4619
344.8 IPS |
|
|
Object Detection (I8)
|
97% |
2389
178.4 IPS |
|
|
Face Detection (F32)
|
100% |
8870
105.5 IPS |
|
|
Face Detection (F16)
|
97% |
19940
237.1 IPS |
|
|
Face Detection (I8)
|
96% |
20002
237.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12811
99.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
65790
510.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
58901
456.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40932
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
132753
174.6 IPS |
|
|
Style Transfer (I8)
|
100% |
134430
176.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10019
357.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33278
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32152
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
2085
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3393
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
859
15.8 IPS |
