MacBook Pro (13-inch, 2022)
Geekbench ML Score
6039
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 06:59 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.30 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3338
624.5 IPS |
|
|
Image Classification (F16)
|
100% |
3473
650.0 IPS |
|
|
Image Classification (I8)
|
99% |
3449
645.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1331
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1598
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23060
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25496
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25393
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2881
215.1 IPS |
|
|
Object Detection (F16)
|
100% |
2959
220.9 IPS |
|
|
Object Detection (I8)
|
97% |
2849
212.7 IPS |
|
|
Face Detection (F32)
|
100% |
9067
107.8 IPS |
|
|
Face Detection (F16)
|
98% |
10293
122.4 IPS |
|
|
Face Detection (I8)
|
97% |
10445
124.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16305
126.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17898
138.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
18109
140.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39026
51.3 IPS |
|
|
Style Transfer (F16)
|
100% |
46708
61.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47148
62.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9176
327.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9051
323.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8887
317.4 IPS |
|
|
Text Classification (F32)
|
100% |
2037
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3257
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3206
4.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
948
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1097
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
898
16.5 IPS |
