MacBook Pro (13-inch, 2022)
Geekbench ML Score
9911
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 27 2025 08:10 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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 | 3.47 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% |
3304
618.2 IPS |
|
|
Image Classification (F16)
|
100% |
10134
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
10983
2.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1550
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1940
32.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2040
34.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23172
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94105
114.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96963
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
2728
203.7 IPS |
|
|
Object Detection (F16)
|
100% |
5493
410.1 IPS |
|
|
Object Detection (I8)
|
97% |
2809
209.7 IPS |
|
|
Face Detection (F32)
|
100% |
8972
106.7 IPS |
|
|
Face Detection (F16)
|
97% |
20117
239.2 IPS |
|
|
Face Detection (I8)
|
96% |
19989
237.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16198
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
44632
346.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
48319
374.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40642
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
148728
195.6 IPS |
|
|
Style Transfer (I8)
|
100% |
140861
185.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7589
271.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33913
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35252
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3425
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1077
19.8 IPS |
