MacBook Pro (16-inch, 2021)
Geekbench AI Score
1862
Single Precision Score
12641
Half Precision Score
13009
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | supercurio |
| Upload Date | August 18 2024 11:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
879
163.5 IPS |
|
|
Image Classification (HP)
|
100% |
7164
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7427
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3874
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3876
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9584
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68998
80.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
65581
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
99% |
7490
595.8 IPS |
|
|
Object Detection (Q)
|
93% |
7153
570.7 IPS |
|
|
Face Detection (SP)
|
100% |
1856
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
11256
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
11751
139.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45975
354.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
49708
384.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11776
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117411
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122715
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18667
689.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23001
852.1 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.8 IPS |
|
|
Text Classification (HP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3293
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1894
32.7 IPS |
