MacBook Pro (13-inch, 2022)
Geekbench ML Score
8936
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 11:08 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.14 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% |
3159
591.2 IPS |
|
|
Image Classification (F16)
|
100% |
9570
1.79 KIPS |
|
|
Image Classification (I8)
|
99% |
10892
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1126
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1699
28.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1630
27.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22233
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
77526
93.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
62171
75.3 IPS |
|
|
Object Detection (F32)
|
100% |
1754
130.9 IPS |
|
|
Object Detection (F16)
|
100% |
5146
384.1 IPS |
|
|
Object Detection (I8)
|
97% |
1646
122.9 IPS |
|
|
Face Detection (F32)
|
100% |
7072
84.1 IPS |
|
|
Face Detection (F16)
|
97% |
17087
203.2 IPS |
|
|
Face Detection (I8)
|
96% |
17625
209.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15890
123.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
65494
507.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
66647
516.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40843
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
137861
181.3 IPS |
|
|
Style Transfer (I8)
|
100% |
134596
177.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9109
325.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35354
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36287
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2200
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3457
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
2736
3.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
824
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1161
21.4 IPS |
|
|
Machine Translation (I8)
|
99% |
805
14.8 IPS |
