MacBook Pro (16-inch, 2021)
Geekbench AI Score
12405
Single Precision Score
13851
Half Precision Score
13007
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | May 02 2025 03:39 PM |
| Views | 5 |
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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5324
990.0 IPS |
|
|
Image Classification (HP)
|
100% |
5434
1.01 KIPS |
|
|
Image Classification (Q)
|
96% |
4947
923.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11744
190.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12120
196.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11540
187.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57254
66.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60625
70.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57855
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
5244
416.0 IPS |
|
|
Object Detection (HP)
|
100% |
5580
442.6 IPS |
|
|
Object Detection (Q)
|
92% |
5124
409.0 IPS |
|
|
Face Detection (SP)
|
100% |
21001
249.5 IPS |
|
|
Face Detection (HP)
|
100% |
22112
262.7 IPS |
|
|
Face Detection (Q)
|
100% |
19281
229.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26889
207.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28018
215.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25835
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
97492
125.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121898
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
118998
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17293
638.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17838
658.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15528
573.4 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2230
38.5 IPS |
