MacBook Pro (16-inch, 2021)
Geekbench AI Score
2771
Single Precision Score
4182
Half Precision Score
3649
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 12:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1277
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (Q)
|
96% |
1269
236.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1677
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5676
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13192
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11413
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
1893
150.7 IPS |
|
|
Object Detection (Q)
|
94% |
1473
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
2574
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5064
39.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7901
61.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6034
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14863
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23681
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20158
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4096
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3300
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3652
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3579
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3189
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3166
54.7 IPS |
