MacBook Pro (13-inch, 2022)
Geekbench ML Score
9543
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2026 06:34 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.43 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% |
2530
473.5 IPS |
|
|
Image Classification (F16)
|
100% |
10612
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11710
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1332
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1916
32.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1918
32.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22858
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94182
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96225
116.5 IPS |
|
|
Object Detection (F32)
|
100% |
2810
209.8 IPS |
|
|
Object Detection (F16)
|
100% |
5070
378.5 IPS |
|
|
Object Detection (I8)
|
97% |
1732
129.3 IPS |
|
|
Face Detection (F32)
|
100% |
9400
111.8 IPS |
|
|
Face Detection (F16)
|
97% |
19045
226.4 IPS |
|
|
Face Detection (I8)
|
96% |
20310
241.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15940
123.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
49669
385.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
50427
391.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40864
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
145184
191.0 IPS |
|
|
Style Transfer (I8)
|
100% |
145533
191.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7418
264.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36060
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34696
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3474
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3485
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
857
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
889
16.4 IPS |
