MacBook Pro (16-inch, 2021)
Geekbench AI Score
3733
Single Precision Score
5712
Half Precision Score
4936
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gbenchgs |
| Upload Date | August 16 2024 12:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (Q)
|
99% |
2025
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2342
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21899
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16514
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2354
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5023
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
3046
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10663
82.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
10964
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22256
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35032
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
35195
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3976
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3803
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3790
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3470
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3561
61.5 IPS |
