MacBook Pro (13-inch, 2022)
Geekbench ML Score
9597
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:46 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.30 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% |
3165
592.3 IPS |
|
|
Image Classification (F16)
|
100% |
10191
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
11843
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1321
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1894
31.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1657
27.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
19851
24.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
94599
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
97124
117.6 IPS |
|
|
Object Detection (F32)
|
100% |
2827
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
5443
406.3 IPS |
|
|
Object Detection (I8)
|
97% |
2113
157.7 IPS |
|
|
Face Detection (F32)
|
100% |
9115
108.4 IPS |
|
|
Face Detection (F16)
|
97% |
20023
238.1 IPS |
|
|
Face Detection (I8)
|
96% |
19541
232.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10236
79.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
47360
367.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
55477
430.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40203
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
140827
185.2 IPS |
|
|
Style Transfer (I8)
|
100% |
145874
191.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7186
256.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35117
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36203
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3570
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3584
5.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1030
19.0 IPS |
