MacBook Pro (16-inch, 2021)
Geekbench AI Score
3572
Single Precision Score
5589
Half Precision Score
4586
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | patrikwm |
| Upload Date | February 09 2025 08:55 AM |
| Views | 8 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.2 IPS |
|
|
Image Classification (Q)
|
96% |
1469
274.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2575
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10533
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21226
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16517
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2296
182.8 IPS |
|
|
Object Detection (Q)
|
94% |
1694
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
4893
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
2902
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10559
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7204
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20944
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33595
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24985
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3928
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3306
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4833
83.5 IPS |
