MacBook Pro (13-inch, 2022)
Geekbench ML Score
9415
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 06:18 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
3545
663.4 IPS |
|
|
Image Classification (F16)
|
100% |
10531
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
12404
2.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1406
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2030
33.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2077
34.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22944
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
87008
105.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
90092
109.1 IPS |
|
|
Object Detection (F32)
|
100% |
2370
177.0 IPS |
|
|
Object Detection (F16)
|
100% |
5665
422.9 IPS |
|
|
Object Detection (I8)
|
97% |
1228
91.7 IPS |
|
|
Face Detection (F32)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (F16)
|
97% |
17263
205.3 IPS |
|
|
Face Detection (I8)
|
96% |
20276
241.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16076
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
48824
378.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
48611
377.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29418
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
145657
191.6 IPS |
|
|
Style Transfer (I8)
|
100% |
150567
198.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9037
322.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35917
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34958
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2084
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3397
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3419
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1361
25.0 IPS |
|
|
Machine Translation (I8)
|
99% |
862
15.9 IPS |
