MacBook Pro (16-inch, 2021)
Geekbench AI Score
3768
Single Precision Score
5831
Half Precision Score
4731
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 06 2025 09:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (Q)
|
96% |
1476
275.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2698
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11023
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21851
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17348
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
97% |
2368
188.5 IPS |
|
|
Object Detection (Q)
|
94% |
1708
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5113
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
2976
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10812
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7346
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22306
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35555
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27330
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4426
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6329
233.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4122
152.2 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4093
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3619
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4803
83.0 IPS |
