MacBook Pro (16-inch, 2021)
Geekbench AI Score
3730
Single Precision Score
5639
Half Precision Score
4705
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | holgr |
| Upload Date | November 03 2024 07:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2615
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10736
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20295
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16345
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
97% |
2391
190.4 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5239
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3149
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5705
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10389
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7183
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21427
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34017
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26779
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4450
164.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6271
231.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4150
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3142
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4894
84.6 IPS |
