MacBook Pro (16-inch, 2021)
Geekbench AI Score
10289
Single Precision Score
11734
Half Precision Score
10360
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4424
822.8 IPS |
|
|
Image Classification (HP)
|
100% |
4668
868.0 IPS |
|
|
Image Classification (Q)
|
97% |
3901
728.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8828
143.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8707
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8660
140.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47250
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49310
57.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45514
53.3 IPS |
|
|
Object Detection (SP)
|
100% |
4641
368.1 IPS |
|
|
Object Detection (HP)
|
100% |
4875
386.7 IPS |
|
|
Object Detection (Q)
|
91% |
4140
330.8 IPS |
|
|
Face Detection (SP)
|
100% |
18608
221.1 IPS |
|
|
Face Detection (HP)
|
100% |
18907
224.7 IPS |
|
|
Face Detection (Q)
|
100% |
13467
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24001
184.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24806
191.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20573
160.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80906
104.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95101
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
89601
115.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15783
582.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15676
578.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12467
460.4 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1776
30.7 IPS |
