MacBook Pro (13-inch, 2022)
Geekbench ML Score
5814
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | RLaures2 |
| Upload Date | November 18 2025 04:47 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.48 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3420
640.0 IPS |
|
|
Image Classification (F16)
|
100% |
3485
652.1 IPS |
|
|
Image Classification (I8)
|
99% |
3496
654.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1309
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1259
21.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1260
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22897
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25593
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24876
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2819
210.5 IPS |
|
|
Object Detection (F16)
|
100% |
2932
218.9 IPS |
|
|
Object Detection (I8)
|
97% |
2816
210.2 IPS |
|
|
Face Detection (F32)
|
100% |
9166
109.0 IPS |
|
|
Face Detection (F16)
|
98% |
10747
127.8 IPS |
|
|
Face Detection (I8)
|
97% |
10615
126.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15953
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17903
138.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17726
137.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41024
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47630
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47600
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7139
254.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6274
224.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7121
254.3 IPS |
|
|
Text Classification (F32)
|
100% |
2131
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3502
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
902
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
900
16.6 IPS |
