MacBook Pro (13-inch, 2022)
Geekbench ML Score
5033
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 05 2026 06:23 PM |
| Views | 4 |
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 | 3.42 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% |
2920
546.5 IPS |
|
|
Image Classification (F16)
|
100% |
2906
543.8 IPS |
|
|
Image Classification (I8)
|
99% |
2887
540.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1191
19.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1081
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
21999
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24048
29.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
21065
25.5 IPS |
|
|
Object Detection (F32)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (F16)
|
100% |
1995
148.9 IPS |
|
|
Object Detection (I8)
|
97% |
2677
199.8 IPS |
|
|
Face Detection (F32)
|
100% |
8718
103.7 IPS |
|
|
Face Detection (F16)
|
98% |
10277
122.2 IPS |
|
|
Face Detection (I8)
|
97% |
9067
107.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8472
65.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16951
131.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
16819
130.4 IPS |
|
|
Style Transfer (F32)
|
100% |
37702
49.6 IPS |
|
|
Style Transfer (F16)
|
100% |
36849
48.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23992
31.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9360
334.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6497
232.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6809
243.2 IPS |
|
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3376
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3437
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
879
16.2 IPS |
|
|
Machine Translation (I8)
|
99% |
792
14.6 IPS |
