MacBook Pro (16-inch, 2021)
Geekbench AI Score
3753
Single Precision Score
5757
Half Precision Score
4712
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
96% |
1485
277.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11161
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21865
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17271
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2382
189.6 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3328
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5416
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5882
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10942
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7323
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22217
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35286
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26231
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4312
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6220
229.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4029
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3188
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4820
83.3 IPS |
