MacBook Pro (13-inch, 2022)
Geekbench ML Score
8989
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 19 2025 07:35 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1997
373.6 IPS |
|
|
Image Classification (F16)
|
100% |
10708
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11545
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1339
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1939
32.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1317
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22682
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
81906
99.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
67109
81.3 IPS |
|
|
Object Detection (F32)
|
100% |
1453
108.5 IPS |
|
|
Object Detection (F16)
|
100% |
3977
296.9 IPS |
|
|
Object Detection (I8)
|
97% |
1684
125.7 IPS |
|
|
Face Detection (F32)
|
100% |
9429
112.1 IPS |
|
|
Face Detection (F16)
|
97% |
20168
239.8 IPS |
|
|
Face Detection (I8)
|
96% |
18644
221.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16751
129.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
50579
392.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
53748
416.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40817
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
140744
185.1 IPS |
|
|
Style Transfer (I8)
|
100% |
141262
185.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7168
256.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34995
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35356
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2156
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3563
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3560
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
849
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1392
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
