MacBook Pro (13-inch, 2022)
Geekbench ML Score
9364
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 05 2026 07:20 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 3.20 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% |
3391
634.5 IPS |
|
|
Image Classification (F16)
|
100% |
10442
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11279
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1544
25.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1700
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
20927
25.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
78392
94.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
87375
105.8 IPS |
|
|
Object Detection (F32)
|
100% |
2839
211.9 IPS |
|
|
Object Detection (F16)
|
100% |
5542
413.8 IPS |
|
|
Object Detection (I8)
|
97% |
2622
195.7 IPS |
|
|
Face Detection (F32)
|
100% |
5300
63.0 IPS |
|
|
Face Detection (F16)
|
97% |
17433
207.3 IPS |
|
|
Face Detection (I8)
|
96% |
18852
224.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15787
122.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
59843
464.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
69182
536.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40314
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
127598
167.8 IPS |
|
|
Style Transfer (I8)
|
100% |
139014
182.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8012
286.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
37111
1.33 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34094
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2017
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3402
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3086
4.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
1011
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1019
18.8 IPS |
