MacBook Pro (16-inch, 2021)
Geekbench AI Score
11909
Single Precision Score
13394
Half Precision Score
12353
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | May 14 2025 12:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| 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% |
5087
946.0 IPS |
|
|
Image Classification (HP)
|
100% |
5135
954.9 IPS |
|
|
Image Classification (Q)
|
96% |
4760
888.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11795
191.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12091
196.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11703
189.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57212
66.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60314
70.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57572
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
5329
422.7 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
92% |
4964
396.2 IPS |
|
|
Face Detection (SP)
|
100% |
21395
254.2 IPS |
|
|
Face Detection (HP)
|
100% |
22079
262.3 IPS |
|
|
Face Detection (Q)
|
100% |
19649
233.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26266
202.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27331
210.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
25715
201.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96598
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120872
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119018
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17008
628.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17357
640.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15055
555.9 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1438
24.9 IPS |
