MacBook Pro (16-inch, 2021)
Geekbench AI Score
11418
Single Precision Score
12588
Half Precision Score
11213
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | machinecoach |
| Upload Date | December 09 2024 08:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
5081
945.0 IPS |
|
|
Image Classification (HP)
|
100% |
5032
935.8 IPS |
|
|
Image Classification (Q)
|
97% |
4531
845.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10248
166.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10465
169.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10530
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57103
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60389
70.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
55584
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
5242
415.8 IPS |
|
|
Object Detection (HP)
|
100% |
5423
430.1 IPS |
|
|
Object Detection (Q)
|
91% |
4613
368.6 IPS |
|
|
Face Detection (SP)
|
100% |
21099
250.7 IPS |
|
|
Face Detection (HP)
|
100% |
22056
262.1 IPS |
|
|
Face Detection (Q)
|
100% |
16425
195.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27226
209.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27700
213.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
22574
176.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96791
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121237
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
112448
145.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16816
620.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16829
621.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14160
522.9 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1092
18.9 IPS |
