MacBook Pro (13-inch, 2022)
Geekbench ML Score
4920
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 07:18 PM |
| Views | 6 |
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 | 3.40 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% |
2819
527.5 IPS |
|
|
Image Classification (F16)
|
100% |
2919
546.2 IPS |
|
|
Image Classification (I8)
|
99% |
2932
548.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1114
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1168
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1331
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
21420
25.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24096
29.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
22848
27.7 IPS |
|
|
Object Detection (F32)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
1629
121.6 IPS |
|
|
Object Detection (I8)
|
97% |
2520
188.1 IPS |
|
|
Face Detection (F32)
|
100% |
8321
98.9 IPS |
|
|
Face Detection (F16)
|
98% |
9798
116.5 IPS |
|
|
Face Detection (I8)
|
97% |
8319
98.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7595
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
16088
124.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
16632
129.0 IPS |
|
|
Style Transfer (F32)
|
100% |
38836
51.1 IPS |
|
|
Style Transfer (F16)
|
100% |
35624
46.9 IPS |
|
|
Style Transfer (I8)
|
100% |
24552
32.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6343
226.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6695
239.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6666
238.1 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3435
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3408
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
905
16.7 IPS |
|
|
Machine Translation (I8)
|
99% |
812
15.0 IPS |
