MacBook Pro (14-inch, 2021)
Geekbench AI Score
3785
Single Precision Score
5831
Half Precision Score
4732
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | yoshiuk |
| Upload Date | March 14 2025 07:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.4 IPS |
|
|
Image Classification (Q)
|
96% |
1475
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2575
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11174
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22545
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16961
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2316
184.4 IPS |
|
|
Object Detection (Q)
|
94% |
1709
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5263
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
3047
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5866
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10964
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35350
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27557
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4415
163.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6447
238.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4086
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4078
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3384
58.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4961
85.7 IPS |
