MacBook Pro (13-inch, 2022)
Geekbench ML Score
9592
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 14 2025 02:21 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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% |
3467
648.8 IPS |
|
|
Image Classification (F16)
|
100% |
11197
2.10 KIPS |
|
|
Image Classification (I8)
|
99% |
11842
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1971
32.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2035
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22898
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94108
114.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
97066
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
2795
208.6 IPS |
|
|
Object Detection (F16)
|
100% |
5766
430.5 IPS |
|
|
Object Detection (I8)
|
97% |
2770
206.8 IPS |
|
|
Face Detection (F32)
|
100% |
9186
109.2 IPS |
|
|
Face Detection (F16)
|
97% |
20477
243.5 IPS |
|
|
Face Detection (I8)
|
96% |
20303
241.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16298
126.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
45441
352.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
62078
481.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41264
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
145452
191.3 IPS |
|
|
Style Transfer (I8)
|
100% |
144604
190.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5531
197.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31581
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31324
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3504
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3444
4.95 KIPS |
|
|
Machine Translation (F32)
|
0% |
608
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (I8)
|
0% |
657
12.1 IPS |
