MacBook Pro (14-inch, 2021)
Geekbench ML Score
8095
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 16 2025 06:27 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4336
811.3 IPS |
|
|
Image Classification (F16)
|
100% |
4485
839.2 IPS |
|
|
Image Classification (I8)
|
99% |
4362
816.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1544
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1633
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
48647
58.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
42169
51.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
53540
64.8 IPS |
|
|
Object Detection (F32)
|
100% |
3120
232.9 IPS |
|
|
Object Detection (F16)
|
100% |
3608
269.4 IPS |
|
|
Object Detection (I8)
|
97% |
3314
247.4 IPS |
|
|
Face Detection (F32)
|
100% |
16146
192.0 IPS |
|
|
Face Detection (F16)
|
98% |
16727
198.9 IPS |
|
|
Face Detection (I8)
|
97% |
15514
184.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
24550
190.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
26505
205.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
19321
149.8 IPS |
|
|
Style Transfer (F32)
|
100% |
73250
96.4 IPS |
|
|
Style Transfer (F16)
|
100% |
108545
142.8 IPS |
|
|
Style Transfer (I8)
|
100% |
81251
106.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10143
362.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12874
459.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
12324
440.1 IPS |
|
|
Text Classification (F32)
|
100% |
2044
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3703
5.32 KIPS |
|
|
Text Classification (I8)
|
96% |
3592
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
899
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
988
18.2 IPS |
|
|
Machine Translation (I8)
|
99% |
977
18.0 IPS |
