MacBook Pro (16-inch, 2021)
Geekbench AI Score
11040
Single Precision Score
12063
Half Precision Score
10823
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Liosnel |
| Upload Date | October 13 2024 05:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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% |
4765
886.2 IPS |
|
|
Image Classification (HP)
|
100% |
4855
902.8 IPS |
|
|
Image Classification (Q)
|
97% |
4221
787.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9864
159.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10274
166.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10258
166.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56965
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59861
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
54958
64.4 IPS |
|
|
Object Detection (SP)
|
100% |
5045
400.1 IPS |
|
|
Object Detection (HP)
|
100% |
5135
407.3 IPS |
|
|
Object Detection (Q)
|
91% |
4499
359.5 IPS |
|
|
Face Detection (SP)
|
100% |
20602
244.8 IPS |
|
|
Face Detection (HP)
|
100% |
21443
254.8 IPS |
|
|
Face Detection (Q)
|
100% |
15803
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25718
198.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26616
205.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22508
175.9 IPS |
|
|
Style Transfer (SP)
|
100% |
95539
122.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118803
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111677
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15908
587.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16334
603.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12970
478.9 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3742
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1069
18.5 IPS |
