MacBook Pro (16-inch, 2021)
Geekbench AI Score
3769
Single Precision Score
5745
Half Precision Score
4737
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 25 2025 06:05 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
96% |
1490
278.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11125
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22031
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17370
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2362
188.1 IPS |
|
|
Object Detection (Q)
|
94% |
1751
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5527
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3194
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5892
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10833
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7430
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22304
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35069
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26228
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6206
229.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4049
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3113
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4762
82.3 IPS |
