MacBook Pro (16-inch, 2021)
Geekbench AI Score
3747
Single Precision Score
5837
Half Precision Score
5013
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rubicon |
| Upload Date | February 02 2025 04:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (Q)
|
99% |
2032
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2321
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11031
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22226
25.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16870
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2310
183.9 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5048
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
3002
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5863
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10835
83.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
10972
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22387
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35482
45.6 IPS |
|
|
Style Transfer (Q)
|
100% |
35190
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6220
229.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3951
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4048
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4044
69.9 IPS |
