MacBook Pro (16-inch, 2021)
Geekbench AI Score
10792
Single Precision Score
12069
Half Precision Score
9397
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | holgr |
| Upload Date | August 15 2024 05:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4991
928.1 IPS |
|
|
Image Classification (HP)
|
100% |
5058
940.6 IPS |
|
|
Image Classification (Q)
|
99% |
4339
809.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10054
163.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10320
167.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
9883
160.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56816
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
60129
70.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
52574
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
4158
329.8 IPS |
|
|
Object Detection (HP)
|
100% |
4429
351.3 IPS |
|
|
Object Detection (Q)
|
91% |
4176
333.7 IPS |
|
|
Face Detection (SP)
|
100% |
20772
246.8 IPS |
|
|
Face Detection (HP)
|
100% |
21801
259.0 IPS |
|
|
Face Detection (Q)
|
100% |
15185
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26396
203.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27088
208.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
6394
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
95830
123.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119707
153.9 IPS |
|
|
Style Transfer (Q)
|
100% |
117324
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16419
606.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16928
625.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12145
449.9 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1084
18.7 IPS |
