MacBook Pro (13-inch, 2022)
Geekbench ML Score
9633
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2025 07:00 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.46 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% |
3373
631.3 IPS |
|
|
Image Classification (F16)
|
100% |
10327
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
11443
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1081
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1084
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1889
31.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20087
24.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
88553
107.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96867
117.3 IPS |
|
|
Object Detection (F32)
|
100% |
2835
211.6 IPS |
|
|
Object Detection (F16)
|
100% |
5335
398.3 IPS |
|
|
Object Detection (I8)
|
97% |
2810
209.8 IPS |
|
|
Face Detection (F32)
|
100% |
8285
98.5 IPS |
|
|
Face Detection (F16)
|
97% |
20083
238.8 IPS |
|
|
Face Detection (I8)
|
96% |
19216
228.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16193
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
48127
373.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
55639
431.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40591
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
148311
195.1 IPS |
|
|
Style Transfer (I8)
|
100% |
150125
197.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9127
326.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31667
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35891
1.28 KIPS |
|
|
Text Classification (F32)
|
100% |
2175
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
2971
4.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3639
5.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1075
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1408
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
