MacBook Pro (13-inch, 2022)
Geekbench ML Score
9510
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 07:33 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.38 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% |
3204
599.6 IPS |
|
|
Image Classification (F16)
|
100% |
10487
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11716
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1286
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1637
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1603
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
18230
22.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
66040
80.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96057
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
2848
212.6 IPS |
|
|
Object Detection (F16)
|
100% |
5276
393.9 IPS |
|
|
Object Detection (I8)
|
97% |
2859
213.5 IPS |
|
|
Face Detection (F32)
|
100% |
9229
109.7 IPS |
|
|
Face Detection (F16)
|
97% |
20260
240.9 IPS |
|
|
Face Detection (I8)
|
96% |
20396
242.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16134
125.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
43716
339.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
43749
339.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40440
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
146487
192.7 IPS |
|
|
Style Transfer (I8)
|
100% |
149860
197.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9022
322.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34258
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
29591
1.06 KIPS |
|
|
Text Classification (F32)
|
100% |
2066
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3459
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3406
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1024
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1022
18.8 IPS |
