MacBook Pro (16-inch, 2021)
Geekbench AI Score
9884
Single Precision Score
9824
Half Precision Score
8606
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | antonme |
| Upload Date | August 15 2024 05:51 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4912
913.5 IPS |
|
|
Image Classification (HP)
|
100% |
5146
957.1 IPS |
|
|
Image Classification (Q)
|
99% |
4240
790.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9619
155.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9878
160.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
9397
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56653
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
60185
70.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
52249
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
3582
284.1 IPS |
|
|
Object Detection (HP)
|
100% |
5253
416.6 IPS |
|
|
Object Detection (Q)
|
92% |
4181
333.7 IPS |
|
|
Face Detection (SP)
|
100% |
18645
221.5 IPS |
|
|
Face Detection (HP)
|
100% |
19462
231.3 IPS |
|
|
Face Detection (Q)
|
100% |
13633
162.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26881
207.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27893
214.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
27827
215.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96814
124.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120961
155.5 IPS |
|
|
Style Transfer (Q)
|
100% |
117606
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17424
643.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18003
664.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13232
490.2 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
472
630.6 IPS |
|
|
Text Classification (Q)
|
93% |
471
632.5 IPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
921
15.9 IPS |
