MacBook Pro (13-inch, 2022)
Geekbench ML Score
6072
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2026 06:25 PM |
| Views | 6 |
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% |
3440
643.7 IPS |
|
|
Image Classification (F16)
|
100% |
3209
600.5 IPS |
|
|
Image Classification (I8)
|
99% |
3292
616.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1531
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23155
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25167
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25125
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2731
203.9 IPS |
|
|
Object Detection (F16)
|
100% |
2727
203.6 IPS |
|
|
Object Detection (I8)
|
97% |
2723
203.3 IPS |
|
|
Face Detection (F32)
|
100% |
9122
108.5 IPS |
|
|
Face Detection (F16)
|
98% |
10671
126.9 IPS |
|
|
Face Detection (I8)
|
97% |
10883
129.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16125
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17352
134.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17917
138.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40325
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47566
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47564
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7545
269.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10333
369.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9582
342.2 IPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3476
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3493
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1001
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1018
18.7 IPS |
