MacBook Pro (16-inch, 2021)
Geekbench AI Score
3682
Single Precision Score
16389
Half Precision Score
16463
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | prashidi |
| Upload Date | June 16 2025 03:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
7052
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6716
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9789
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10449
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71702
83.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67700
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
8086
643.2 IPS |
|
|
Object Detection (Q)
|
91% |
7554
603.6 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
14504
172.3 IPS |
|
|
Face Detection (Q)
|
100% |
15102
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5793
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51626
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53429
417.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21937
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120615
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116703
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26015
960.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28367
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3863
66.8 IPS |
