MacBook Pro (13-inch, 2022)
Geekbench ML Score
6065
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 27 2026 07:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3404
637.1 IPS |
|
|
Image Classification (F16)
|
100% |
3593
672.4 IPS |
|
|
Image Classification (I8)
|
99% |
3573
668.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1527
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1624
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1582
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22223
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25223
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25249
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2022
150.9 IPS |
|
|
Object Detection (F16)
|
100% |
1839
137.3 IPS |
|
|
Object Detection (I8)
|
97% |
2537
189.4 IPS |
|
|
Face Detection (F32)
|
100% |
9726
115.6 IPS |
|
|
Face Detection (F16)
|
98% |
11139
132.4 IPS |
|
|
Face Detection (I8)
|
97% |
11107
132.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13426
104.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9535
73.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17450
135.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41037
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47539
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
33123
43.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3413
121.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10510
375.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8452
301.9 IPS |
|
|
Text Classification (F32)
|
100% |
3859
5.55 KIPS |
|
|
Text Classification (F16)
|
100% |
6196
8.90 KIPS |
|
|
Text Classification (I8)
|
96% |
5838
8.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1301
23.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1165
21.4 IPS |
