MacBook Pro (13-inch, 2022)
Geekbench ML Score
9195
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 06:51 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 3.45 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% |
3371
630.8 IPS |
|
|
Image Classification (F16)
|
100% |
10971
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11840
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1738
29.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1982
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23026
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93591
113.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96063
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
1758
131.3 IPS |
|
|
Object Detection (F16)
|
100% |
4386
327.4 IPS |
|
|
Object Detection (I8)
|
97% |
2102
156.9 IPS |
|
|
Face Detection (F32)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (F16)
|
97% |
19859
236.1 IPS |
|
|
Face Detection (I8)
|
96% |
17791
211.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16093
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
48464
375.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
43268
335.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40679
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
143723
189.1 IPS |
|
|
Style Transfer (I8)
|
100% |
145042
190.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7145
255.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35058
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35855
1.28 KIPS |
|
|
Text Classification (F32)
|
100% |
2114
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3428
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
911
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1405
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
866
15.9 IPS |
