MacBook Pro (14-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
5738
Half Precision Score
4712
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | archuleta24 |
| Upload Date | December 03 2024 11:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
96% |
1483
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11032
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22306
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17316
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2279
181.4 IPS |
|
|
Object Detection (Q)
|
94% |
1695
135.1 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5051
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
2931
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5878
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10787
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7392
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22361
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35502
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27414
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6273
231.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4043
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3925
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3338
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4903
84.7 IPS |
